{"id":"W3200660585","doi":"","title":"Étude des extrêmes sanitaires - Application aux maladies cardiovasculaires à Québec et Montréal.","year":2015,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.007483503,0.0004705513,0.0004956261,0.0006610274,0.002509416,0.0007054993,0.001083492,0.0003462911,0.0001745563],"category_scores_gemma":[0.003242068,0.0004864056,0.0002720211,0.001959024,0.00332669,0.0009103636,0.0002899478,0.0008615712,0.0001724057],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004363352,"about_ca_system_score_gemma":0.03031648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925364,"about_ca_topic_score_gemma":0.9999257,"domain_scores_codex":[0.9913377,0.000866576,0.0007193875,0.001367615,0.004172149,0.001536642],"domain_scores_gemma":[0.9919045,0.001011872,0.000201208,0.0009878125,0.005020479,0.0008741549],"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":[0.0002140808,0.0003163152,0.001922601,0.00009481746,0.0008988348,0.00006948064,0.002124435,0.02780003,0.00005424637,0.2438512,0.6810613,0.04159259],"study_design_scores_gemma":[0.00161868,0.0001191061,0.006299771,0.0003266004,0.00008333301,0.00002677148,0.002593967,0.001776913,0.0002206525,0.003239715,0.983171,0.0005235086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1377559,0.2529962,0.01280868,0.4710679,0.0318206,0.007152272,0.003911632,0.0003245636,0.08216225],"genre_scores_gemma":[0.9495029,0.0003737219,0.001710539,0.0003496076,0.0008953711,0.001054021,0.0009656803,0.00008921992,0.04505897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.811747,"threshold_uncertainty_score":0.9997588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08608570062429399,"score_gpt":0.3602816291593287,"score_spread":0.2741959285350347,"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."}}