{"id":"W1994596057","doi":"10.1161/circulationaha.105.560607","title":"Defining Disparities in Cardiovascular Disease for American Indians","year":2005,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Disease; Intensive care medicine; Gerontology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271788,0.00008984848,0.0003019612,0.0001438758,0.00006222409,0.00001084423,0.00002560566,0.00003911476,0.000004927477],"category_scores_gemma":[0.0001537542,0.00008769755,0.0004108331,0.0001896976,0.00004240992,0.00007679156,0.000006476474,0.00008805916,0.00001345985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684727,"about_ca_system_score_gemma":0.0001204076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004490825,"about_ca_topic_score_gemma":0.00006298818,"domain_scores_codex":[0.9991016,0.00003333777,0.0001891592,0.0002136536,0.00022518,0.0002371198],"domain_scores_gemma":[0.999411,0.00004118138,0.000034572,0.0002874003,0.0000417507,0.0001841382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007509153,0.00003358808,0.8609967,0.0001245655,0.0001273491,0.000007961746,0.0001758323,0.01067773,0.0000085696,0.0003874609,0.00003989361,0.1273452],"study_design_scores_gemma":[0.001065116,0.00001375989,0.9800223,0.00004428533,0.000197261,0.000008142028,0.000061219,0.004272877,0.00001276172,0.00005565838,0.0141474,0.00009927036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857544,0.006906588,0.005759644,0.0006354427,0.00009304916,0.0006170411,0.00001562872,0.00005255296,0.0001656957],"genre_scores_gemma":[0.9983755,0.0001589896,0.0006602314,0.0002864063,0.0002566477,0.0000846942,0.0001466674,0.0000204043,0.00001040695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.127246,"threshold_uncertainty_score":0.3576202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453810315685706,"score_gpt":0.2736300486852617,"score_spread":0.2590919455284046,"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."}}