{"id":"W4309297133","doi":"10.2196/34908","title":"Incidence and Prevalence of Peripheral Arterial Disease in South Korea: Retrospective Analysis of National Claims Data","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Health Insurance Review and Assessment Service; Yonsei University; College of Nursing, Yonsei University; National Research Foundation","keywords":"Medicine; Incidence (geometry); Epidemiology; Intermittent claudication; Amputation; Claudication; Retrospective cohort study; Arterial disease; Health care; Emergency medicine; Vascular disease; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117928,0.0001057895,0.000441386,0.0002830018,0.00008496994,0.00001543655,0.0001688239,0.00001664607,0.000196822],"category_scores_gemma":[0.0002063101,0.0001025952,0.00003886689,0.0008291873,0.0001319511,0.0001551741,0.0003422336,0.0001162586,1.391618e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866111,"about_ca_system_score_gemma":0.000677588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007827863,"about_ca_topic_score_gemma":0.0001111689,"domain_scores_codex":[0.9980474,0.0002472949,0.0004295254,0.0004431596,0.0005902897,0.0002423076],"domain_scores_gemma":[0.9988766,0.00004378799,0.0002158968,0.000393102,0.0001086798,0.0003619184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003429829,0.0001962738,0.9960901,0.0005197031,0.00009379889,0.000006353359,0.001301855,0.00003059739,0.00001190484,0.0002147437,0.000242529,0.0009491292],"study_design_scores_gemma":[0.000833363,0.0001768423,0.982989,0.00001227254,0.000009762088,0.000001414459,0.0002856328,0.01491119,4.544838e-8,0.00004843407,0.0006551978,0.00007684703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946417,0.0006345394,0.00004264546,0.002586122,0.00004190488,0.0004842333,0.001455047,0.00001370669,0.0001001248],"genre_scores_gemma":[0.9984753,0.000123005,0.00006710569,0.0007307081,0.00003196264,0.00008346445,0.0004143112,0.000006378925,0.00006782169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01488059,"threshold_uncertainty_score":0.4183711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559643572362582,"score_gpt":0.3222528264467621,"score_spread":0.2866563907231363,"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."}}