{"id":"W7019016180","doi":"","title":"Evolution des depenses des csst et du taux d'accident au Canada, 1975-1987","year":2007,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"HT1080; Term (time); Statistical analysis; Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003445173,0.0004195787,0.0003064428,0.003566035,0.001896505,0.001195652,0.001179376,0.0004569527,0.01276935],"category_scores_gemma":[0.002063518,0.0003337497,0.0006179314,0.005089616,0.0005456845,0.0004161419,0.000789182,0.0006982317,0.001313195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02460005,"about_ca_system_score_gemma":0.04613153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966975,"about_ca_topic_score_gemma":0.9978115,"domain_scores_codex":[0.9994633,0.00002736067,0.00002478308,0.00006462263,0.0002038073,0.0002160849],"domain_scores_gemma":[0.9980372,0.0001559712,0.0002519966,0.00004317407,0.001174176,0.0003375873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004082199,0.0001095371,0.8318211,0.0002731676,0.0003027066,0.0005577548,0.003490958,0.003091306,0.0007652646,0.007689602,0.04190594,0.1095844],"study_design_scores_gemma":[0.00000861814,0.00001902374,0.9786999,0.00006492667,0.00002620534,0.00009376602,0.001624423,0.0005022362,0.000302771,0.000118556,0.01852493,0.00001466539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816606,0.005226504,0.0007940781,0.002075534,0.00008515408,0.00006650681,0.07736451,0.0002715384,0.03245559],"genre_scores_gemma":[0.8882619,0.00283827,0.001174213,0.0001508168,0.00001954964,0.00004450779,0.0194676,0.00006678022,0.08797631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02460005,"threshold_uncertainty_score":0.1784866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006666179125170615,"score_gpt":0.1724613291051158,"score_spread":0.1657951499799452,"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."}}