{"id":"W1537889457","doi":"10.1007/bf03405022","title":"Individual and Neighbourhood Determinants of Health Care Utilization","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University; Dalhousie Medical Research Foundation","keywords":"Neighbourhood (mathematics); Socioeconomic status; Health care; Multilevel model; Environmental health; Medicine; Economic growth; Economics; Statistics; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009492144,0.0001917969,0.0006601523,0.001439138,0.001128697,0.001212081,0.000664668,0.0009863282,0.003838844],"category_scores_gemma":[0.005272634,0.0003707058,0.001144453,0.002650695,0.0005411049,0.0007690562,0.001251611,0.001090178,0.0002793507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545273,"about_ca_system_score_gemma":0.001736775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2167333,"about_ca_topic_score_gemma":0.4256565,"domain_scores_codex":[0.9990122,0.0002875318,0.0001093692,0.0001362766,0.0001503045,0.0003043674],"domain_scores_gemma":[0.9960564,0.0009967443,0.0007732967,0.0002844116,0.0004334212,0.001455716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006560973,0.00009292629,0.9974854,0.00001026627,0.0001574388,0.00003932601,0.0002307796,0.0001257487,0.00003443008,0.000105234,0.0001854324,0.001467426],"study_design_scores_gemma":[0.000003411405,0.00002555786,0.9987022,0.00001018664,0.00004884806,0.0000402913,0.00063666,0.0002501867,0.000008713752,0.0001266016,0.000140366,0.000006918238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974161,0.0004471409,0.00006562025,0.0002364851,0.00001615612,0.000005046034,0.0006491018,0.000003424015,0.001160845],"genre_scores_gemma":[0.9993919,0.0001466328,0.00005163331,0.00001721975,0.000009991006,0.000003872387,0.0002261324,0.000001904075,0.0001507532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2167333,"threshold_uncertainty_score":0.4309435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656351112984097,"score_gpt":0.3720950566929671,"score_spread":0.2064599453945574,"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."}}