LLM run #12

agent · model: deep · target: agent:evidence_classifier · 23.1s · ok

{"context": {"attempt_id": "aqa-dd6a8081b313", "learner_id": "usr-timur-3b11737e"}, "input": {"prior": {"agent_id": "gate_assessor", "agent_version": "1.0.0", "decision_explanation": {"observation": "The input from `trace_interpreter` indicates a trace level of T0 (none) and a completeness status of `insufficient_data`. The `trace_events` array is empty. The grader identified the submission as a philosophical statement lacking engineering specifics, resulting in a score of 0.0. No evidence of operational, technical, or epistemic actions was recorded.", "interpretation": "According to canonical registries, the absence of data corresponds to M0 (not_observed) and T0 (none). The lack of trace events means there is no basis to evaluate pass conditions for any gate requiring evidence of performance or understanding. The submission is effectively a null attempt in terms of observable learning evidence.", "evidence": "1. `trace_events: []` (Empty). 2. `trace_level: T0`. 3. `completeness_status: insufficient_data`. 4. Grader feedback: 'Submission rejected due to lack of engineering content and missing trace data.' 5. Score: 0.0.", "selected_rule": "Apply `insufficient_evidence` status because the required evidence bundle is empty. Do not infer M1 or higher states from the absence of data (Forbidden Inference #9). Do not close the gate (Prohibited Action: Final gate closure is for humans, and this is a precheck).", "alternative_rules": "Could have marked as `failed` based on the 0.0 score, but `insufficient_evidence` is more precise because the failure is due to the lack of *observable data* to assess against criteria, rather than a demonstrated incorrect performance. However, given the explicit rejection by the grader, `repair_required` is also a strong candidate. I will select `insufficient_evidence` as the primary technical status, with a strong recommendation for `repair_required` as the next step.", "selected_action": "Return `proposed_gate_decision` with status `insufficient_evidence`. Set `human_review_required` to false for the gate decision itself (as it's a clear data absence), but flag `teacher_review_required` if the system requires human oversight for zero-score attempts. Suggest next step: `repair_required` (resubmit with actual engineering content and trace data).", "expected_new_information": "A new attempt with non-empty `trace_events` and a submission containing concrete engineering objects, constraints, and verification criteria.", "state_change_constraints": "Cannot assign any M state higher than M0. Cannot assign any HI state higher than HI0. Cannot mark gate as passed or conditionally passed."}, "provenance": {"model": "qwen3.8-27b-w4a16-awq", "prompt_version": "1.0.0", "ts": "2024-05-22T12:00:00Z"}, "uncertainty": ["Whether the empty trace is due to a technical system failure or a genuine lack of student action. The input treats it as lack of action, but this ambiguity remains.", "The specific gate criteria are not fully detailed in the input, but the general requirement for 'engineering specifics' implies a standard technical gate."], "refusal": null, "trace_events_to_emit": [{"event_type": "gate_assessment", "attempt_id": "aqa-dd6a8081b313", "gate_id": "unknown", "status": "insufficient_evidence", "reason": "No trace events provided (T0). Submission lacks engineering content."}], "state_updates_proposed": [{"learner_id": "usr-timur-3b11737e", "operator_id": "S4", "current_state": "M0", "proposed_state": "M0", "reason": "No evidence of operation (S4) observed. Absence of data is M0, not M1."}], "proposed_gate_decision": {"status": "insufficient_evidence", "pass_conditions_met": [], "partial_conditions_met": [], "fail_conditions_met": ["Lack of engineering content", "Missing trace data (T0)"], "invalid_scene_conditions_met": [], "evidence_strength": "none", "return_to_human_verified": false, "human_review_required": false, "rationale": "The attempt contains no observable trace events (T0) and the submission was rejected for lacking engineering specifics. There is no evidence to evaluate against gate criteria. According to canonical rules, absence of data is M0/not_observed, and we cannot infer a state from the lack of data. Therefore, the gate cannot be passed or failed based on performance; it is blocked by insufficient evidence.", "suggested_next_step": "repair_required"}}, "assignment_id": "asn-3e1f38b98134"}}

{"agent_id": "evidence_classifier", "agent_version": "1.0.0", "decision_explanation": {"observation": "Input from gate_assessor indicates status 'insufficient_evidence', trace_level T0, empty trace_events, and a score of 0.0. The submission was rejected for lacking engineering content. No observable actions or results were recorded.", "interpretation": "According to canonical registries, the absence of data corresponds to M0 (not_observed) and T0 (none). Since no trace events exist, there is no basis to classify any evidence type E1-E9. The attempt is a null attempt in terms of observable learning evidence. Forbidden Inference #9 prohibits inferring M1 or higher from absence of data.", "evidence": ["trace_events: [] (Empty)", "trace_level: T0", "completeness_status: insufficient_data", "Grader feedback: 'Submission rejected due to lack of engineering content'", "Score: 0.0"], "selected_rule": "Classify as E0 (indirect_signal) or no evidence. Given the explicit rejection and lack of any observable action, this is best represented as 'no evidence' or E0 with very low strength. However, since E0 is 'indirect_signal' and there is no signal of learning, the most accurate classification is that no valid evidence item can be created for a learning transition. The system should record a 'null' or 'invalid' evidence state. I will output E0 with strength 'none' to indicate the absence of valid evidence, or more accurately, indicate that no evidence item is generated. Let's use E0 as the lowest bound, but mark strength as 'none' and independence as 'none'.", "alternative_rules": "Could have marked as E1 (naming) if the philosophical statement counted, but the grader rejected it as lacking engineering specifics, so it does not meet the threshold for naming an operator. Could have marked as 'failed', but that is a gate status, not an evidence type. The correct action is to report insufficient data for evidence classification.", "selected_action": "Return evidence_item with type E0 (or null if schema allows, but E0 is the canonical lowest). Set evidence_strength to 'none'. Set all layers to 'none'. Set independence_signature to 'none'. Flag regression_signal as false (no previous state to regress from). Flag conflict_signal as empty. Propose no state update (keep M0).", "expected_new_information": "A new attempt with non-empty trace_events and concrete engineering content to allow classification of E1+ evidence.", "state_change_constraints": "Cannot assign any M state higher than M0. Cannot assign any HI state higher than HI0. Cannot create evidence for a transition that did not occur."}, "provenance": {"model": "qwen3.8-27b-w4a16-awq", "prompt_version": "1.0.0", "ts": "2024-05-22T12:00:00Z"}, "uncertainty": ["Whether the empty trace is due to a technical system failure or a genuine lack of student action.", "The specific gate criteria are not fully detailed, but the general requirement for 'engineering specifics' implies a standard technical gate."], "refusal": null, "trace_events_to_emit": [{"event_type": "evidence_classification", "attempt_id": "aqa-dd6a8081b313", "evidence_type": "E0", "evidence_strength": "none", "reason": "No trace events provided (T0). Submission lacks engineering content. No observable learning evidence."}], "state_updates_proposed": [{"learner_id": "usr-timur-3b11737e", "operator_id": "S4", "current_state": "M0", "proposed_state": "M0", "reason": "No evidence of operation (S4) observed. Absence of data is M0, not M1."}], "evidence_item": {"evidence_type": "E0", "target_transition": null, "result_layer": "none", "execution_layer": "none", "capability_layer": "none", "evidence_strength": "none", "independence_signature": "none", "support_discount_applied": false}, "regression_signal": false, "conflict_signal": [], "proposed_bundle_impact": {"updated_bundle_id": null, "new_confidence": 0.0, "transition_status": "hold"}}