{"id":"W2053479853","doi":"10.1093/eurpub/cki082","title":"Access to general practitioner services: the disabled elderly lag behind in underserved areas","year":2005,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Institut National de la Santé et de la Recherche Médicale; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Medicine; Institutionalisation; Gerontology; Odds; Population ageing; Poisson regression; Population; Rural area; Environmental health; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006741738,0.0001242898,0.0002810275,0.000684499,0.0005815976,0.0005991771,0.000418398,0.0004599215,0.003339392],"category_scores_gemma":[0.003855453,0.0001005566,0.0002615125,0.001118083,0.000464452,0.0006486928,0.0009431195,0.0004110648,0.0001388614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009034562,"about_ca_system_score_gemma":0.0009804912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05964709,"about_ca_topic_score_gemma":0.08308131,"domain_scores_codex":[0.99942,0.0002060891,0.00003069949,0.0000873746,0.00008371627,0.0001720676],"domain_scores_gemma":[0.9980924,0.0004517204,0.0008312649,0.00006650186,0.00009766744,0.0004605305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004267624,0.00003135159,0.994458,0.00004231014,0.00002904378,0.0002824718,0.0005721029,0.00005082411,0.00008804796,0.00006720629,0.0002515768,0.00408435],"study_design_scores_gemma":[0.000002428609,0.00002336552,0.9979899,0.0000256128,0.00001308611,0.000234308,0.00134378,0.00007123684,0.00001106801,0.000070104,0.0002134817,0.000001753738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966694,0.001323786,0.00008273866,0.001007373,0.000009190538,0.000006800515,0.0002196855,0.00000198458,0.0006792213],"genre_scores_gemma":[0.9993298,0.0003341191,0.00003352884,0.0001247861,0.00001407256,0.000002231417,0.00006375868,5.52737e-7,0.00009704549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05964709,"threshold_uncertainty_score":0.1185998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794602238174672,"score_gpt":0.4461508507404511,"score_spread":0.266690626922984,"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."}}