{"id":"W7011235764","doi":"","title":"L'influence des précipitations nivales et de la température sur les cas d'infarctus du myocarde au Québec l'approche géomatique","year":2004,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medium term; Coronary heart disease; Gossypium hirsutum","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":[],"category_scores_codex":[0.0004910416,0.000403621,0.0006037239,0.0002133302,0.0006278199,0.00001917705,0.0009518769,0.0009182921,0.0005676372],"category_scores_gemma":[0.001431606,0.0003356646,0.0004858348,0.0004774494,0.00762917,0.0001358631,0.000445804,0.001030518,0.00008589347],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005747344,"about_ca_system_score_gemma":0.008027792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.107793,"about_ca_topic_score_gemma":0.2449799,"domain_scores_codex":[0.9976537,0.0003975762,0.0003686274,0.0004210359,0.0006690037,0.0004900101],"domain_scores_gemma":[0.9978499,0.0006617082,0.000173477,0.0004048654,0.0005001209,0.0004099188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001106456,0.005795824,0.1330443,0.08204815,0.003481716,0.0004556043,0.08949456,0.02676262,0.4826621,0.1421866,0.01649567,0.01646639],"study_design_scores_gemma":[0.002916198,0.0003131572,0.5848216,0.05276773,0.001117404,0.0003770418,0.00118059,0.001301835,0.05204599,0.001701087,0.3007533,0.0007041264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367763,0.03201841,0.01890651,0.002530681,0.0002388403,0.0008773837,0.00009733254,0.00007646171,0.308478],"genre_scores_gemma":[0.9346832,0.003540668,0.006015228,0.0000660631,0.0002628806,0.000003307231,0.00003415628,0.00005462368,0.05533988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4517772,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073746706969003,"score_gpt":0.2436970645349982,"score_spread":0.2329595974653082,"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."}}