{"id":"W2001467966","doi":"10.7202/600913ar","title":"Déterminants de l’utilisation des services médicaux en régime d’assurance-maladie","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Global Health Care Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Beneficiary; Notice; Demography; Proxy (statistics); Health care; Health services; Health insurance; Demographic economics; Gerontology; Business; Medicine; Political science; Economics; Economic growth; Population; Sociology; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001381782,0.000164161,0.0002416147,0.001283982,0.0003718729,0.001090024,0.0005004265,0.0004484485,0.004256215],"category_scores_gemma":[0.00774384,0.0002138802,0.0005834133,0.001581094,0.000463205,0.0003761158,0.000521645,0.001036058,0.0005489199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003537853,"about_ca_system_score_gemma":0.002299141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4576861,"about_ca_topic_score_gemma":0.4420973,"domain_scores_codex":[0.9978696,0.0007252413,0.0001390143,0.0001791889,0.0005244217,0.0005623654],"domain_scores_gemma":[0.9911047,0.003161605,0.003358276,0.0003353589,0.0009892692,0.001050849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002449891,0.00004095094,0.9948372,0.00001207096,0.0000620939,0.00004608323,0.0001652124,0.0003429127,0.0001112389,0.0001976103,0.000318868,0.00384129],"study_design_scores_gemma":[0.000001340308,0.00001225552,0.9988927,0.00000897993,0.000006414264,0.00003652454,0.00008944302,0.0003281427,0.00002961728,0.00002000336,0.0005721744,0.000002437851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919032,0.0009445594,0.0004334434,0.001295121,0.000009753499,0.00002201144,0.002045026,0.0000245516,0.003322256],"genre_scores_gemma":[0.9976699,0.0002859305,0.0001811581,0.0000573645,0.00001641309,0.00001009837,0.0006618014,0.000004620147,0.001112679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4576861,"threshold_uncertainty_score":0.9100441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508607185094724,"score_gpt":0.4016032645647713,"score_spread":0.3465171927138241,"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."}}