{"id":"W1912180829","doi":"10.7202/010253ar","title":"La conversion de HLM pour personnes âgées en HLM mixtes : le point de vue des résidants","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149735,0.000383772,0.0005346386,0.001150384,0.002427444,0.001302517,0.0006798138,0.0003342295,0.007179934],"category_scores_gemma":[0.001715331,0.0001834705,0.0006245396,0.001580045,0.0009141102,0.000514213,0.001782353,0.0003705819,0.0004249097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007132267,"about_ca_system_score_gemma":0.004215764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5726265,"about_ca_topic_score_gemma":0.8061882,"domain_scores_codex":[0.9990993,0.000245827,0.00004943612,0.0001114784,0.0002816617,0.000212342],"domain_scores_gemma":[0.9990895,0.0002201652,0.0001772262,0.00007616561,0.0003294523,0.0001075005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001464409,0.0002972947,0.6385942,0.001088816,0.0006290177,0.001200445,0.06811676,0.004465262,0.01497941,0.004074855,0.003522631,0.2615669],"study_design_scores_gemma":[0.00002495695,0.0007260831,0.9423437,0.0001212939,0.0001003885,0.00009682576,0.02519827,0.0003019344,0.002571933,0.0002492602,0.02822899,0.00003642987],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932428,0.0007504786,0.0004039224,0.000164012,0.00001699614,0.00007034499,0.0004961044,0.0000146136,0.00484071],"genre_scores_gemma":[0.9785402,0.0009481929,0.001503774,0.000107607,0.00001555729,0.0001524666,0.0004325157,0.00001409653,0.01828568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4273735,"threshold_uncertainty_score":0.8597808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007577376031480136,"score_gpt":0.2375100034056892,"score_spread":0.229932627374209,"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."}}