{"id":"W2016565970","doi":"10.1007/s11517-012-1030-5","title":"Patient specific fluid–structure ventricular modelling for integrated cardiac care","year":2013,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas Hospital","funders":"Medical Research Council","keywords":"Context (archaeology); Population; Intensive care medicine; Cardiac surgery; Quality of life (healthcare); Medicine; Computer science; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653434,0.0002649404,0.0005684357,0.00009069007,0.00009787986,0.00003146243,0.0001012506,0.0003674952,0.000414075],"category_scores_gemma":[0.0003092985,0.0001704809,0.0005331558,0.0002544324,0.00004965703,0.00002424162,0.00007635701,0.0005063908,0.00004252167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338496,"about_ca_system_score_gemma":0.0000426732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003647085,"about_ca_topic_score_gemma":7.273647e-8,"domain_scores_codex":[0.9982724,0.000041654,0.00039368,0.0004229451,0.0004173206,0.0004520311],"domain_scores_gemma":[0.9989456,0.0001624107,0.00004426082,0.000233109,0.0002042644,0.0004103578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001611488,0.0002421996,0.04542065,0.0006540294,0.001216561,0.0002943782,0.001135158,0.4024366,0.01321563,0.0004474313,0.005773251,0.529003],"study_design_scores_gemma":[0.001640521,0.0005282102,0.01806025,0.0005873935,0.0001205578,0.0001707163,0.000634841,0.7529112,0.002165833,0.00002024624,0.2224972,0.0006631121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325892,0.00332332,0.2620011,0.00008490059,0.001100078,0.0006223685,0.00001068762,0.0002290315,0.00003925788],"genre_scores_gemma":[0.990975,0.0001182468,0.007771697,0.0001581693,0.0006744068,0.00002095116,0.0002454296,0.00002841016,0.000007749302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5283399,"threshold_uncertainty_score":0.6952009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055643218377317,"score_gpt":0.2061460043510716,"score_spread":0.1955895721672984,"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."}}