{"id":"W3043305257","doi":"10.1016/j.jcin.2020.05.021","title":"Patient-Specific Computer Simulation in TAVR","year":2020,"lang":"en","type":"letter","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; University of Ottawa","funders":"","keywords":"Computer science; 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":[0.003245097,0.0003261039,0.0003890696,0.0002780424,0.001094773,0.001620689,0.001035644,0.01175369,0.01575707],"category_scores_gemma":[0.02711167,0.0002782845,0.0005526656,0.0001515573,0.0008725126,0.001219185,0.001474152,0.007847457,0.003454773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653756,"about_ca_system_score_gemma":0.002419737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689223,"about_ca_topic_score_gemma":0.006794101,"domain_scores_codex":[0.9970824,0.002078117,0.0001657803,0.0000975621,0.0004128395,0.0001632513],"domain_scores_gemma":[0.9826278,0.01439189,0.000289285,0.0004636514,0.001050548,0.001176795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004832583,0.0002377373,0.004701571,0.0001406408,0.00003172453,0.005089543,0.0004405421,0.009747947,0.0004369818,0.0167175,0.8852509,0.07672164],"study_design_scores_gemma":[0.0003282717,0.0003536766,0.002006821,0.000769183,0.00003234279,0.004130316,0.0006029087,0.04575591,0.0006470493,0.04572353,0.8995831,0.00006691326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00631876,0.001594949,0.006397781,0.9344515,0.009210587,0.00005197533,0.0001389648,0.0003801982,0.04145529],"genre_scores_gemma":[0.3609645,0.006085463,0.01599743,0.5326685,0.03022328,0.0007494455,0.0005749652,0.0004275146,0.05230875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01575707,"threshold_uncertainty_score":0.05271262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859549260407262,"score_gpt":0.3268277937714475,"score_spread":0.2882323011673749,"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."}}