{"id":"W4389939825","doi":"10.1161/circ.148.suppl_1.18211","title":"Abstract 18211: Does Frailty Matter in High Risk PCI","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Conventional PCI; Odds ratio; Logistic regression; Internal medicine; Confidence interval; Emergency medicine; Myocardial infarction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002637529,0.0002665363,0.0005733315,0.0008151178,0.0004899127,0.001458258,0.000563681,0.0009692259,0.009156899],"category_scores_gemma":[0.02515824,0.0001744828,0.001112275,0.001351218,0.0006652504,0.001147597,0.0006585747,0.001405316,0.0007584553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364678,"about_ca_system_score_gemma":0.001071697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009627058,"about_ca_topic_score_gemma":0.00931417,"domain_scores_codex":[0.9992035,0.0002492943,0.0001142188,0.0001728483,0.0001322464,0.000127881],"domain_scores_gemma":[0.9900661,0.003362116,0.003912511,0.0005799456,0.0008640542,0.001215325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000829026,0.00004428346,0.9795154,0.0001863026,0.0003799047,0.00009417337,0.0001225403,0.0001641984,0.00006593624,0.0002340869,0.003550321,0.01481393],"study_design_scores_gemma":[0.00005445763,0.000116235,0.9965214,0.0002137646,0.0002645697,0.0001605276,0.0001220514,0.0004143519,0.00003157172,0.0007965892,0.001293063,0.00001149825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629081,0.01326498,0.0007256729,0.01025878,0.0003726108,0.00004730488,0.004747557,0.00003336116,0.007641684],"genre_scores_gemma":[0.9956297,0.001435194,0.0001514577,0.0006765775,0.0003922876,0.00001426398,0.001314874,0.00001209191,0.0003736875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009627058,"threshold_uncertainty_score":0.03063291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994407639295363,"score_gpt":0.2718893847801333,"score_spread":0.2519453083871797,"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."}}