{"id":"W602783242","doi":"","title":"MINISTER SEEKS CONSISTENCY IN CANADIAN SAFETY RATINGS","year":2001,"lang":"en","type":"article","venue":"Transport topics","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Forensic engineering; Engineering; Business; Transport engineering; Political science; Aeronautics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012259,0.0001239661,0.0003224974,0.0003003235,0.0001489629,0.0000414303,0.0004211871,0.0001148986,0.00203569],"category_scores_gemma":[0.0001401556,0.0001009388,0.0001654117,0.0009100764,0.00008233364,0.0001587823,0.00000664492,0.0001611833,0.0002053716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007228635,"about_ca_system_score_gemma":0.000326154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09618669,"about_ca_topic_score_gemma":0.8576086,"domain_scores_codex":[0.9978566,0.00006357951,0.0007765942,0.000360247,0.0005412565,0.0004017701],"domain_scores_gemma":[0.9989336,0.0001234513,0.00007592462,0.0004789274,0.0001083974,0.0002796792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002288903,0.00002151382,0.9513825,0.000001797487,0.000009234731,0.0003003685,0.001232219,0.0001960367,0.000004971367,0.002199422,0.0004357582,0.04419325],"study_design_scores_gemma":[0.0002102501,0.00001283249,0.4532159,0.000005833969,0.00001194907,0.000009198057,0.0003959013,0.0003625297,0.000006050007,0.00313755,0.5425162,0.0001157817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6066242,0.0002237955,0.002349792,0.03643689,0.0003931606,0.0002271292,0.00004618279,0.00003616011,0.3536627],"genre_scores_gemma":[0.9753643,0.0001822853,0.0006577622,0.001341681,0.00007397135,0.000003379061,0.00001604948,0.000006751581,0.02235377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7614219,"threshold_uncertainty_score":0.9988766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06155002618392037,"score_gpt":0.3337148935567135,"score_spread":0.2721648673727932,"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."}}