{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639643,0.0003130453,0.0003487272,0.002565085,0.0003527124,0.0006387968,0.0005153946,0.0002442016,0.0007851162],"category_scores_gemma":[0.002708435,0.0004781776,0.0005595611,0.003123641,0.000290035,0.0007452026,0.0008430467,0.0003675734,0.0002147728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006496868,"about_ca_system_score_gemma":0.0007799162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009257161,"about_ca_topic_score_gemma":0.008856915,"domain_scores_codex":[0.998696,0.0002232032,0.0004706965,0.0003035667,0.0002089315,0.00009759444],"domain_scores_gemma":[0.9966429,0.0003822111,0.001773271,0.0003661826,0.0006185442,0.0002169519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003755463,0.00001410352,0.9988397,0.00002985741,0.00005171859,0.00004088477,0.00006643789,0.0000238678,0.00007210079,0.000008492613,0.0001164674,0.0006989161],"study_design_scores_gemma":[0.000005660841,0.00003405054,0.9987761,0.00001992278,0.00005457017,0.0002713158,0.0002828544,0.0001860893,0.00007553304,0.00001032485,0.0002778874,0.000005594491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946454,0.0004037235,0.000206897,0.00004037049,0.000005727812,0.00004989432,0.004288786,0.000008542866,0.000350723],"genre_scores_gemma":[0.9946079,0.0003062316,0.0002865108,0.00005602298,0.000006298926,0.00008964083,0.004559978,0.000004065868,0.00008328007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009257161,"threshold_uncertainty_score":0.01840657,"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."}}