{"id":"W4394900353","doi":"10.1515/9782763743097-017","title":"Adaptation des services à la population masculine : l’exemple du québec","year":2019,"lang":"fr","type":"book-chapter","venue":"","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre intégré de santé et de services sociaux de la Montérégie-Centre; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Intégré de Santé et de Services Sociaux des Laurentides; Santé Montérégie; Université Laval; Université de Montréal","funders":"","keywords":"Adaptation (eye); Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0008177134,0.0003921747,0.0002334853,0.0007679214,0.007826116,0.002831057,0.0009306946,0.001839216,0.008175829],"category_scores_gemma":[0.001116694,0.0002404459,0.0004319975,0.002392281,0.002215172,0.0008823343,0.001305979,0.001904524,0.00044259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04060901,"about_ca_system_score_gemma":0.07642017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915466,"about_ca_topic_score_gemma":0.9971634,"domain_scores_codex":[0.9988463,0.0002336558,0.00002130962,0.00005947467,0.0002576536,0.0005815274],"domain_scores_gemma":[0.9994392,0.00007654207,0.00002780314,0.00001950043,0.0002079258,0.0002290882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001122112,0.0002570429,0.03615732,0.0005229178,0.00008489724,0.003652998,0.05918681,0.003097326,0.001522334,0.1733434,0.3519218,0.370141],"study_design_scores_gemma":[0.00002600043,0.00005111039,0.06809405,0.0003974088,0.00002318825,0.0003725278,0.01598212,0.0004848807,0.0001287474,0.001825044,0.912578,0.00003680311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2144599,0.0478077,0.002460907,0.1617105,0.00318974,0.0002252826,0.001264318,0.0001285561,0.5687531],"genre_scores_gemma":[0.501541,0.03461204,0.003356761,0.02229385,0.0006295771,0.0001920262,0.0004881076,0.0001128305,0.4367739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04060901,"threshold_uncertainty_score":0.2946403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260404237800122,"score_gpt":0.3300267916738749,"score_spread":0.2874227492958736,"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."}}