{"id":"W4384780017","doi":"10.3390/jcm12144774","title":"Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes","year":2023,"lang":"en","type":"review","venue":"Journal of Clinical Medicine","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Qatar National Library; Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Medicine; Medical physics; Intensive care 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":[0.002710773,0.001173553,0.0009595028,0.002352709,0.0001750318,0.001511149,0.001273957,0.001155393,0.002121005],"category_scores_gemma":[0.00640265,0.0003217947,0.001171715,0.001833659,0.0004238607,0.001276247,0.0007492907,0.001554107,0.0007820067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366578,"about_ca_system_score_gemma":0.001864854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870398,"about_ca_topic_score_gemma":0.004110003,"domain_scores_codex":[0.9991843,0.0002554242,0.0001136833,0.0001588107,0.0002437454,0.00004408655],"domain_scores_gemma":[0.9974561,0.001689243,0.0001716802,0.00006090898,0.0005578605,0.00006407969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000796508,0.00007426304,0.002605559,0.009122135,0.0003806503,0.00007498737,0.00007213474,0.005001595,0.0006345397,0.004418797,0.01043137,0.9671043],"study_design_scores_gemma":[0.0001102957,0.001004765,0.01686978,0.03097528,0.002649053,0.002214418,0.0003197238,0.04638619,0.007726433,0.03455961,0.8568425,0.0003420111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002348168,0.9740885,0.01616738,0.002064789,0.0005080354,0.00006765716,0.0003470633,0.0001284858,0.004279803],"genre_scores_gemma":[0.025721,0.9552715,0.01521167,0.001112552,0.0007753695,0.0001320297,0.0004800189,0.00004573068,0.001250155],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003870398,"threshold_uncertainty_score":0.01433611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2330077058415754,"score_gpt":0.5880139674420255,"score_spread":0.3550062616004501,"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."}}