{"id":"W4319336466","doi":"10.1055/s-0043-1760747","title":"Risk Prediction Models for Long-Term Survival after Cardiac Surgery: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"The Thoracic and Cardiovascular Surgeon","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Cardiac surgery; Intensive care medicine; MEDLINE; Disease; Predictive modelling; Critical appraisal; Meta-analysis; Systematic review; Risk assessment; Vascular surgery; Surgery; Internal medicine; Statistics; Computer science; Pathology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02313116,0.002751719,0.008659002,0.01257817,0.0005731625,0.003304614,0.003415336,0.001920598,0.003316383],"category_scores_gemma":[0.09986385,0.001217454,0.0168941,0.01003958,0.0008858754,0.003147837,0.001425963,0.001810664,0.0003760483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040905,"about_ca_system_score_gemma":0.01142649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280041,"about_ca_topic_score_gemma":0.01891836,"domain_scores_codex":[0.9841133,0.007968565,0.004010256,0.001194371,0.002490098,0.0002233552],"domain_scores_gemma":[0.8770983,0.105843,0.01086259,0.001238276,0.00459287,0.0003651292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002629778,0.00005779185,0.00691577,0.876961,0.03794537,0.0001329918,0.0002486961,0.00228061,0.00005692969,0.0008130639,0.002546102,0.07177875],"study_design_scores_gemma":[0.0004040395,0.0003468367,0.01269478,0.7819961,0.1830067,0.0004134372,0.0003316508,0.004710191,0.0001795897,0.00206127,0.01370407,0.0001513759],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001948475,0.9946397,0.001330217,0.0005326748,0.0001150727,0.000378647,0.0007997334,0.00003876883,0.0002168243],"genre_scores_gemma":[0.05199269,0.940775,0.004615441,0.0004538126,0.0001556249,0.001091761,0.0007968058,0.00001808068,0.0001007387],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02313116,"threshold_uncertainty_score":0.1223307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262778572396766,"score_gpt":0.3591823074968609,"score_spread":0.3065545217728932,"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."}}