{"id":"W2150163863","doi":"","title":"Geography and service supply do not explain socioeconomic gradients in angiography use after acute myocardial infarction.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Socioeconomic status; Myocardial infarction; Odds ratio; Confidence interval; Angiography; Emergency medicine; Infarction; Prospective payment system; Internal medicine; Demography; Finance; Payment; Environmental health; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006799477,0.0002408438,0.000327807,0.0007882703,0.0004452002,0.00003141856,0.0000996661,0.000300133,0.0001919256],"category_scores_gemma":[0.00007881306,0.0002559916,0.0001676718,0.0005199198,0.00007150124,0.0006149312,0.00006772481,0.0006012122,0.00008991089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269219,"about_ca_system_score_gemma":0.00006621314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551717,"about_ca_topic_score_gemma":0.001184536,"domain_scores_codex":[0.9968327,0.0008397344,0.0006560289,0.0005030309,0.0002008679,0.0009676021],"domain_scores_gemma":[0.9985739,0.0003652747,0.0002148135,0.0003650495,0.0001202193,0.0003607585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001507914,0.00001784675,0.9938162,0.00007825969,0.0001083808,0.000003227808,0.00201572,0.000002314928,8.15588e-7,0.0001927536,0.001072401,0.002541275],"study_design_scores_gemma":[0.001446249,0.00001520892,0.9834934,0.0000232693,0.00003797843,0.000002838473,0.00046451,0.000003707159,0.000002638272,0.0004453819,0.01383281,0.0002319505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919893,0.0003251813,0.000005080251,0.002035603,0.00223345,0.002605889,0.0002919248,0.00009382439,0.0004197324],"genre_scores_gemma":[0.9814238,0.000486271,0.0001713911,0.006997545,0.0000979666,0.0106829,0.0000444767,0.00003974927,0.00005587942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276041,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652843517047605,"score_gpt":0.3071152452013131,"score_spread":0.2705868100308371,"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."}}