{"id":"W1967439406","doi":"10.1080/13685530902957837","title":"The Quebec government's approach to the vulnerable aging population","year":2009,"lang":"en","type":"article","venue":"The Aging Male","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Government (linguistics); Population ageing; Population; National health insurance; Health care; Family medicine; Gerontology; Economic growth; Environmental health","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":[0.003194068,0.0007201476,0.0003772515,0.002203999,0.01857266,0.00739469,0.002089901,0.007536298,0.0119856],"category_scores_gemma":[0.004124948,0.0002922539,0.0007528447,0.001850805,0.008001817,0.002241676,0.003766299,0.008321569,0.001038196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08200728,"about_ca_system_score_gemma":0.2296397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847831,"about_ca_topic_score_gemma":0.994773,"domain_scores_codex":[0.9962772,0.0008260324,0.00009207151,0.000276294,0.00113902,0.001389481],"domain_scores_gemma":[0.9939119,0.000431126,0.000161945,0.0001430725,0.002068587,0.003283383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002195017,0.00005734457,0.006188547,0.0001640452,0.00003018894,0.0004976167,0.005998102,0.0003436654,0.0003330182,0.179787,0.7635681,0.04301042],"study_design_scores_gemma":[0.0000185156,0.00002509812,0.01538309,0.0004738196,0.00002163308,0.0002497595,0.006342209,0.0002984066,0.00009930552,0.01195066,0.9650851,0.00005235559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00679805,0.0202796,0.001596839,0.8319576,0.005321081,0.0001106075,0.0005121874,0.0001019378,0.133322],"genre_scores_gemma":[0.2000883,0.02342042,0.006467046,0.4127703,0.002720193,0.0002604848,0.0003198427,0.000150954,0.3538024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08200728,"threshold_uncertainty_score":0.5950073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031431483054872,"score_gpt":0.3472766852995266,"score_spread":0.3158452022446546,"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."}}