{"id":"W4400800866","doi":"10.53738/revmed.2024.20.882.1342","title":"Maladies liées à la chaleur : conseils aux médecins et professionnels de santé","year":2024,"lang":"fr","type":"article","venue":"Revue Médicale Suisse","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Seriousness; Medicine; Front line; Public health; Warning signs; Population; Health professionals; Medical emergency; Environmental health; Health care; Nursing; Political science; Law; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001420059,0.0003561263,0.0004275746,0.000112894,0.0003001092,0.0002203334,0.0003213525,0.0004234385,0.01925176],"category_scores_gemma":[0.0004809385,0.0003335784,0.000172137,0.0004486107,0.0006775907,0.0003907163,0.0003338832,0.0007942651,0.004635513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309301,"about_ca_system_score_gemma":0.0003447111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005413159,"about_ca_topic_score_gemma":0.0005590471,"domain_scores_codex":[0.9968801,0.000480463,0.0004991485,0.0006235716,0.0003207076,0.001196021],"domain_scores_gemma":[0.9975953,0.001021121,0.00008896495,0.000418118,0.00001675073,0.0008597139],"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":[0.00009252325,0.001098371,0.03893992,0.007715094,0.0000798968,0.004629519,0.03480755,0.00006551993,0.01055101,0.01243002,0.4856914,0.4038991],"study_design_scores_gemma":[0.0004437925,0.0002662376,0.05151542,0.008443424,0.0001090994,0.0008060852,0.001932535,0.00310149,0.0007545011,0.006346946,0.925712,0.0005684684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5340048,0.2121971,0.0002024512,0.195472,0.002888012,0.0008868391,0.0004324168,0.0003349994,0.05358143],"genre_scores_gemma":[0.5485009,0.08683841,0.0008737014,0.005411002,0.001839522,0.0001103581,0.00003322445,0.000124735,0.3562681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4400206,"threshold_uncertainty_score":0.9999116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151968040318105,"score_gpt":0.3820782258193492,"score_spread":0.3105585454161681,"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."}}