{"id":"W3111813436","doi":"10.1093/geroni/igaa057.3327","title":"Spatial Analysis of Healthcare Offer and Request for Older People Aged 65 Years and Over in Quebec","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux","funders":"","keywords":"Health care; Business; Health services; Population; Older people; Index (typography); Geography; Gerontology; Medicine; Environmental health; Economic growth; Computer science; World Wide Web; Economics","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":[0.0007512874,0.0002210706,0.0002933138,0.003061323,0.0009052382,0.001162263,0.0006707218,0.0002873394,0.004397229],"category_scores_gemma":[0.003840048,0.000115029,0.0005803685,0.007446459,0.0003961222,0.0003406933,0.0008077075,0.0002693975,0.0002770862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124658,"about_ca_system_score_gemma":0.01000902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898336,"about_ca_topic_score_gemma":0.9913629,"domain_scores_codex":[0.9995075,0.000102053,0.00004090902,0.0000928994,0.00014216,0.0001144688],"domain_scores_gemma":[0.996797,0.0006997284,0.0004592944,0.0001318255,0.001673975,0.0002383034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000600257,0.00002466148,0.9749939,0.0001469624,0.0001115048,0.0001004869,0.0009806819,0.002077902,0.0002265243,0.0005786188,0.006935561,0.01376307],"study_design_scores_gemma":[0.00000351979,0.000007689313,0.9916094,0.00006813332,0.00002249258,0.00003311985,0.001792117,0.003124674,0.00005525425,0.00004672328,0.003223908,0.00001291907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351766,0.001262899,0.001532691,0.0009054308,0.00002718624,0.00009607367,0.05380509,0.0001152709,0.007078805],"genre_scores_gemma":[0.9901736,0.0002869091,0.001158594,0.00004728024,0.000005752068,0.00004922099,0.00690288,0.00001209652,0.001363541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124658,"threshold_uncertainty_score":0.09044617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09704991148327764,"score_gpt":0.4573232690254878,"score_spread":0.3602733575422101,"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."}}