{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000658812,0.0002207701,0.0002477948,0.0005492671,0.00054204,0.0006215072,0.0004158615,0.0003727047,0.002511],"category_scores_gemma":[0.004994743,0.0002459883,0.0005155494,0.0008113736,0.0005730682,0.0004158324,0.0008115306,0.0003719213,0.0002608412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008962533,"about_ca_system_score_gemma":0.001148231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09883456,"about_ca_topic_score_gemma":0.1399523,"domain_scores_codex":[0.9994473,0.0001417799,0.00004807442,0.00006693289,0.0001270821,0.0001686812],"domain_scores_gemma":[0.9970688,0.000589377,0.001370692,0.0001622633,0.0001852973,0.0006236013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003472278,0.000007387422,0.9991948,0.000004364889,0.00003703605,0.00003885956,0.00005646408,0.00003119304,0.00004866789,0.00002277748,0.00005346294,0.0004702523],"study_design_scores_gemma":[0.000001736642,0.00001169291,0.9995694,0.000003948998,0.0000106546,0.00004101425,0.00008029406,0.0001772016,0.000008715574,0.00003319159,0.00006110529,0.000001049981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984096,0.0002630765,0.0001085658,0.0002992937,0.000005016831,0.00000667035,0.0002407795,0.000002447591,0.0006645901],"genre_scores_gemma":[0.9997328,0.00005027844,0.00002631513,0.00001331449,0.000003398885,0.000001805811,0.00009978209,0.000001200492,0.00007106366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09883456,"threshold_uncertainty_score":0.1965186,"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."}}