{"id":"W7104265247","doi":"10.25919/a4rg-bd23","title":"Long-term project observations for project P885 semester 2025OCTS_04","year":2025,"lang":"","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Magnetar; Context (archaeology); Tracking (education); Process (computing); Order (exchange); Impulse (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001891959,0.001751982,0.001327685,0.003827879,0.001144369,0.002814616,0.002155204,0.001932792,0.05551619],"category_scores_gemma":[0.006532317,0.0006949887,0.001198562,0.007184554,0.0004391634,0.001622298,0.002836272,0.001397415,0.09383108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918219,"about_ca_system_score_gemma":0.003683211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0441163,"about_ca_topic_score_gemma":0.07004449,"domain_scores_codex":[0.9983114,0.0002299382,0.0001984644,0.0004405293,0.0004331514,0.0003863943],"domain_scores_gemma":[0.9963152,0.0003930103,0.0005544564,0.00107546,0.001104163,0.0005577118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001343275,0.00001840388,0.002517862,0.0003314403,0.00003920166,0.00002450659,0.00001949893,0.0001914601,0.0001207456,0.0003765611,0.9936869,0.002539096],"study_design_scores_gemma":[0.0002069117,0.00002762311,0.01829402,0.0001860817,0.00003321574,0.00005082001,0.0001469212,0.0004240552,0.0003995872,0.001112953,0.9790753,0.00004251953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002861092,0.00003857191,0.00004636109,0.00007026675,0.00002856646,0.000008974539,0.9986122,0.0001937991,0.0007151918],"genre_scores_gemma":[0.0004857344,0.00002228493,0.0001759461,0.00002938891,0.00000818623,0.00003818581,0.9983606,0.00005034344,0.0008293793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9444838,"threshold_uncertainty_score":0.1857201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198519464107117,"score_gpt":0.3825865981483952,"score_spread":0.2627346517376835,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}