{"id":"W4402798494","doi":"10.1097/01.tp.0001065168.14483.83","title":"301.2: A decision-making approach based on computer modelling of blood flow in hepatic vessels.","year":2024,"lang":"en","type":"article","venue":"Transplantation","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood flow; Computer science; Medicine; Flow (mathematics); Biomedical engineering; Cardiology; Mechanics; Physics","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":[0.002385744,0.001122556,0.001161333,0.001256235,0.0006458234,0.002157214,0.001567,0.001782725,0.009600738],"category_scores_gemma":[0.003615053,0.0007028513,0.001304297,0.0004341849,0.0004871143,0.0007358161,0.001238715,0.001003403,0.001377825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009037016,"about_ca_system_score_gemma":0.001815934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004424816,"about_ca_topic_score_gemma":0.003632908,"domain_scores_codex":[0.99918,0.000432237,0.00006508605,0.000120048,0.0001490124,0.00005362473],"domain_scores_gemma":[0.9984548,0.001100665,0.00009349534,0.00004566818,0.0002068065,0.00009848882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000330974,0.0001708279,0.001924101,0.0002875594,0.0001725232,0.0004333806,0.0001883594,0.8859065,0.002226559,0.01151255,0.003043196,0.09380354],"study_design_scores_gemma":[0.00002336504,0.00003368476,0.000110268,0.00002432033,0.00002499542,0.00004576363,0.00001846396,0.9943843,0.0003589216,0.003815725,0.001151937,0.000008184071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01272719,0.0002139606,0.9811682,0.0004452927,0.00006943523,0.0003019145,0.00026008,0.001294822,0.003519136],"genre_scores_gemma":[0.2777644,0.0003160365,0.7162123,0.0001998623,0.00010683,0.001176263,0.0004810485,0.000210951,0.003532307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009600738,"threshold_uncertainty_score":0.03211766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987416611865712,"score_gpt":0.2749668113559189,"score_spread":0.2550926452372618,"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."}}