{"id":"W4417132971","doi":"10.2196/76348","title":"Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coagulation; Predictive modelling; Intensive care unit; Risk assessment; Intensive care; Coagulation system; Clinical Practice","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":[0.01725078,0.002466145,0.01210202,0.004291538,0.0004980917,0.002398454,0.001914458,0.001984201,0.002214232],"category_scores_gemma":[0.03136202,0.0009629573,0.04403523,0.00637129,0.0004339947,0.00125972,0.001009928,0.002450699,0.0002216764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079842,"about_ca_system_score_gemma":0.001751404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005091297,"about_ca_topic_score_gemma":0.005110574,"domain_scores_codex":[0.9885637,0.007532632,0.001434283,0.00138165,0.0007790224,0.0003086965],"domain_scores_gemma":[0.9716044,0.02381309,0.002203567,0.001121967,0.0009870945,0.0002698643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003665105,0.0000872489,0.04686195,0.03275386,0.8967182,0.0001743891,0.00004124413,0.005167195,0.0001785038,0.0002372703,0.0006669676,0.01344803],"study_design_scores_gemma":[0.0008209058,0.0004438778,0.01809569,0.003172427,0.9704264,0.0001341731,0.00002208964,0.005078479,0.0001286793,0.0007039807,0.0009434567,0.00002994702],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05603308,0.9325222,0.007095543,0.001060897,0.0003263599,0.0002800378,0.001988734,0.0001221093,0.00057108],"genre_scores_gemma":[0.7941987,0.1929453,0.007824123,0.0009501819,0.0005239179,0.0006852452,0.002451124,0.00007346299,0.0003478709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01725078,"threshold_uncertainty_score":0.09123194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045648516736188,"score_gpt":0.317113364935358,"score_spread":0.2666568797679961,"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."}}