{"id":"W4394873143","doi":"10.53738/revmed.2024.20.870.808","title":"Environnement digital et santé des populations","year":2024,"lang":"fr","type":"article","venue":"Revue Médicale Suisse","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Political science; Digital health; Health care; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926221,0.0003618083,0.0005095814,0.001856887,0.001381113,0.005125579,0.000416917,0.001388839,0.01342328],"category_scores_gemma":[0.008614302,0.0001928322,0.0004701118,0.002308153,0.004904305,0.002657833,0.002148971,0.002806298,0.001617565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003296598,"about_ca_system_score_gemma":0.003301034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606713,"about_ca_topic_score_gemma":0.01176283,"domain_scores_codex":[0.9956806,0.002663504,0.0001145216,0.0003226337,0.0009176395,0.0003011501],"domain_scores_gemma":[0.9963503,0.001927888,0.0004713295,0.0003978288,0.0003838048,0.0004688659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001086769,0.0002116644,0.049038,0.0005833291,0.0002014677,0.00137265,0.0151958,0.002756653,0.00132204,0.5530701,0.04062979,0.3355099],"study_design_scores_gemma":[0.00004997875,0.0001906558,0.06632086,0.0009864271,0.00003037482,0.001923797,0.00693832,0.0006866389,0.0005347403,0.06051725,0.8617456,0.00007532466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1980251,0.09665642,0.02542106,0.1666171,0.003086876,0.0001981007,0.004231424,0.0006593984,0.5051045],"genre_scores_gemma":[0.8895358,0.05900402,0.01109636,0.005496768,0.002599231,0.0001867233,0.0006506256,0.00009361882,0.03133678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606713,"threshold_uncertainty_score":0.05183083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2097988297568961,"score_gpt":0.515087903996943,"score_spread":0.3052890742400469,"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."}}