{"id":"W7018180145","doi":"","title":"Comparing the predictive accuracy of frailty instruments applied to preoperative electronic health data for adult patients undergoing non-cardiac surgery: a retrospective cohort study.","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perioperative; Retrospective cohort study; Risk assessment; Odds; MEDLINE; Frailty Index; Vulnerability (computing); Cohort; Health care","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":[0.01563088,0.0005903051,0.001415985,0.003207391,0.0004358249,0.001545015,0.00112301,0.0008238425,0.001882603],"category_scores_gemma":[0.04889947,0.0005034028,0.003464383,0.004593371,0.0005137079,0.001593196,0.001214105,0.0008622104,0.000291071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005926794,"about_ca_system_score_gemma":0.001248347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134023,"about_ca_topic_score_gemma":0.007939301,"domain_scores_codex":[0.9875293,0.003914474,0.00394967,0.002092279,0.002116163,0.0003981208],"domain_scores_gemma":[0.9646469,0.01560898,0.01311314,0.002754828,0.003323084,0.0005530658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009642263,0.00008568746,0.9786134,0.00269194,0.004924363,0.00007330369,0.0002379569,0.0001046779,0.00009019725,0.0001149761,0.0006458577,0.01145329],"study_design_scores_gemma":[0.0002117117,0.0006282495,0.9864722,0.001975402,0.005900296,0.0004009336,0.0005177088,0.0008282318,0.0001740162,0.0002633358,0.002569258,0.00005865738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8764924,0.1011222,0.003198241,0.0007840908,0.0002998557,0.00066119,0.01544782,0.00003569478,0.001958531],"genre_scores_gemma":[0.9818927,0.009351699,0.001855727,0.000435154,0.0001404172,0.0004448678,0.005673991,0.00001433,0.0001910851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563088,"threshold_uncertainty_score":0.08266503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873371008438002,"score_gpt":0.3009991572921497,"score_spread":0.2722654472077697,"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."}}