{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009194335,0.0004918778,0.0004112987,0.000576545,0.004871357,0.0002103799,0.0003493439,0.0003197023,0.00005650275],"category_scores_gemma":[0.0004095968,0.0005302032,0.000382396,0.002838417,0.005781857,0.0008968731,0.00003286517,0.0004639923,0.000009050643],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747289,"about_ca_system_score_gemma":0.007662846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957006,"about_ca_topic_score_gemma":0.9996381,"domain_scores_codex":[0.9967303,0.0005281747,0.0005389192,0.0006094554,0.000585189,0.001007978],"domain_scores_gemma":[0.9982879,0.0001708886,0.0002898028,0.0002945977,0.0005517986,0.0004050542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002055219,0.0004349662,0.04685695,0.0002591038,0.0005041549,0.00004626417,0.6211375,0.001272584,0.0001213262,0.3072763,0.01906337,0.003006865],"study_design_scores_gemma":[0.001766541,0.000260376,0.29244,0.0009836077,0.0005615114,0.00006793012,0.2014957,0.00004785125,0.0007361101,0.1325868,0.367406,0.001647584],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153969,0.05629224,0.007438563,0.01312091,0.001408343,0.0006439083,0.0000977114,0.0001909955,0.005410482],"genre_scores_gemma":[0.9560188,0.03546061,0.003879548,0.001249844,0.000769571,0.0002070256,0.0000367433,0.00004370393,0.002334176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196419,"threshold_uncertainty_score":0.999715,"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."}}