{"id":"W4376865915","doi":"10.1016/j.jvs.2023.05.006","title":"Baseline modern medical management in the BEST-CLI trial","year":2023,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; Abbott Vascular; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Vascular Society; Boston Scientific Corporation; Novo Nordisk Fonden; Novo Nordisk; National Institute on Minority Health and Health Disparities; Cook Medical; Abiomed; Canadian Society for Vascular Surgery; Gilead Sciences; National Institute of Allergy and Infectious Diseases; Bayer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Baseline (sea)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006728458,0.0001337403,0.0004619283,0.0005051171,0.00004418243,0.00002931636,0.0002225879,0.00005887706,0.0003062589],"category_scores_gemma":[0.0004037359,0.00008270172,0.0006454254,0.0006168943,0.0000383643,0.00009766238,0.00005736444,0.0002982171,0.0001005729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006657607,"about_ca_system_score_gemma":0.0001671704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008795099,"about_ca_topic_score_gemma":0.000007350647,"domain_scores_codex":[0.9966248,0.0003387872,0.0007927038,0.000151163,0.001804774,0.0002877683],"domain_scores_gemma":[0.9988846,0.0003317865,0.0001650846,0.0003484086,0.0000706678,0.0001995199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02107985,0.005980867,0.02278983,0.0009522401,0.003916647,0.07560072,0.001222832,0.001069101,0.00006642716,0.0002973026,0.2828029,0.5842214],"study_design_scores_gemma":[0.1278908,0.00141366,0.1801556,0.003312593,0.00326371,0.00119334,0.004344129,0.03251179,0.00003641522,0.002306025,0.642594,0.0009778292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841229,0.0008575513,0.0008087821,0.01141536,0.0008566994,0.000503899,0.000001324007,0.000028407,0.001405061],"genre_scores_gemma":[0.9899099,0.004245424,0.0001610383,0.003807233,0.001312449,0.00003375503,0.00001745412,0.00003108862,0.0004816504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5832435,"threshold_uncertainty_score":0.3372478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914770523731895,"score_gpt":0.305561489192017,"score_spread":0.2664137839546981,"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."}}