{"id":"W1758852623","doi":"10.7202/010135ar","title":"Vieillissement démographique et institutionnalisation des personnes âgées : des projections nuancées pour le Canada","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.001023161,0.0005581444,0.0004723803,0.002283768,0.001187019,0.001881628,0.0005716605,0.0004937732,0.003674991],"category_scores_gemma":[0.001818881,0.0002116723,0.001045879,0.002727941,0.0003349351,0.0006697454,0.000566698,0.001150087,0.00028531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03521422,"about_ca_system_score_gemma":0.03263403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993704,"about_ca_topic_score_gemma":0.9924552,"domain_scores_codex":[0.9994195,0.0001294293,0.00002506001,0.0000610447,0.0001930293,0.0001720611],"domain_scores_gemma":[0.9991928,0.0001372553,0.00006378363,0.00004675633,0.000429031,0.000130422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005538293,0.000163097,0.6291689,0.0003598077,0.0003411682,0.0005830606,0.002381612,0.1348038,0.00146272,0.03480591,0.01529084,0.1800853],"study_design_scores_gemma":[0.0001211575,0.0001722607,0.7537097,0.0003874553,0.0001353066,0.0002752623,0.003966162,0.108168,0.001732942,0.003245866,0.1278855,0.0002003865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924158,0.006390377,0.02182002,0.005078633,0.0001336635,0.0002907254,0.04002213,0.0004118574,0.03343677],"genre_scores_gemma":[0.9508387,0.005856762,0.01260679,0.0001410124,0.00003684335,0.0001586439,0.01041455,0.00004542142,0.01990126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03521422,"threshold_uncertainty_score":0.2554982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178331031837272,"score_gpt":0.2547184630428664,"score_spread":0.2368853598591392,"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."}}