LLM run #11

agent · model: deep · target: agent:gate_assessor · 24.1s · ok

{"context": {"attempt_id": "aqa-dd6a8081b313", "learner_id": "usr-timur-3b11737e"}, "input": {"prior": {"agent_id": "trace_interpreter", "agent_version": "1.0.0", "decision_explanation": {"observation": "Input contains grading results with a score of 0.0 and a list of failure modes, but the `trace_events` array is empty. The grader identified the submission as a philosophical statement lacking engineering specifics.", "interpretation": "The absence of `trace_events` means there is no raw data to classify into the 5 semantic layers. According to canonical registries, absence of data is M0 (not_observed), not M1 (absent). The trace level is T0 (none) because no events were recorded or provided.", "evidence": "Input field `trace_events` is an empty list `[]`. Grader feedback confirms no engineering work was performed, hence no operational trace exists.", "selected_rule": "Apply T0 (none) for trace_level and `insufficient_data` or `scene_invalid` logic for completeness, as required by \u00a77.29.57 (forbidden inference: absence of data -> M1 is forbidden; it is M0/not_observed).", "alternative_rules": "Could have attempted to infer trace from grader feedback, but this violates the prohibition against filling gaps with plausible stories (\u00a77.29.57 point 5/10).", "selected_action": "Generate a trace summary reflecting the empty state, marking completeness as invalid due to missing required events, and listing the grader's failure modes as unresolved gaps.", "expected_new_information": "A new attempt with actual trace events or a corrected submission that generates trace data.", "state_change_constraints": "Cannot assign M2+ or HI1+ states. Cannot mark trace_level higher than T0."}, "provenance": {"model": "qwen3.8-27b-w4a16-awq", "prompt_version": "1.0.0", "ts": "2024-05-22T12:00:00Z"}, "uncertainty": ["The specific content of the student's submission is only known via grader summary, not raw text.", "Whether the empty trace_events is a system error or a genuine lack of action is ambiguous, but treated as lack of action per input."], "refusal": null, "trace_events_to_emit": [], "state_updates_proposed": [], "trace_summary": {"attempt_id": "aqa-dd6a8081b313", "trace_level": "T0", "completeness_status": "insufficient_data", "five_layers": {"technical": [], "operational": [], "epistemic": [], "subject": [], "production": []}, "summary": {"human_actions": [], "machine_actions": [], "seams": [], "corrections": [], "final_decision": "Submission rejected due to lack of engineering content and missing trace data.", "decision_owner": "grader"}, "unresolved_gaps": ["No trace events recorded for this attempt.", "Submission lacks concrete engineering object.", "Submission lacks constraints and operating context.", "Submission lacks verification criteria.", "Submission lacks traceability.", "Submission lacks clear delegation boundary."], "interface_effects_detected": []}}, "assignment_id": "asn-3e1f38b98134"}}

{"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"}}