{"id":"W4391022800","doi":"10.1016/j.cjca.2024.01.015","title":"Socioeconomic Determinants of Health: Remoteness From Care","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"","keywords":"Disadvantage; Health care; Socioeconomic status; Population; Service (business); Index (typography); Indigenous; Residence; Geography; Medicine; Business; Environmental health; Economic growth; Marketing; Computer science; Demographic economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008113651,0.0002187838,0.0005021445,0.00119836,0.001477798,0.001578005,0.0006444176,0.0009070331,0.006897081],"category_scores_gemma":[0.005991733,0.0002013391,0.0006294436,0.002305232,0.0009650344,0.001502613,0.00255617,0.001635667,0.000211422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461754,"about_ca_system_score_gemma":0.002260709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1564821,"about_ca_topic_score_gemma":0.2065403,"domain_scores_codex":[0.9986404,0.0003519134,0.0001140432,0.0001884586,0.0002187413,0.0004864888],"domain_scores_gemma":[0.9967886,0.0005243127,0.0009308024,0.0001617296,0.0002827477,0.001311783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001418129,0.0002240819,0.9844408,0.0000562334,0.0001632564,0.0002868797,0.001839946,0.000149428,0.0001453344,0.002326428,0.001123852,0.009101792],"study_design_scores_gemma":[0.000007849116,0.0000320827,0.9949546,0.00007408548,0.00003679594,0.0001068732,0.002978451,0.0001448581,0.00001903146,0.0009717558,0.0006605567,0.00001297574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811057,0.002715016,0.0002580617,0.006936893,0.0001008967,0.00002357138,0.001253863,0.000005507937,0.007600472],"genre_scores_gemma":[0.9990436,0.0003342831,0.00004926855,0.0001854707,0.00006206799,0.000005089859,0.0001778113,0.000001816409,0.000140535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8435179,"threshold_uncertainty_score":0.3111426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486738792921211,"score_gpt":0.3422135428196167,"score_spread":0.3073461548904046,"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."}}