{"id":"W3217182532","doi":"10.1007/s00246-021-02790-z","title":"Deep Learning-Based Approach to Automatically Assess Coronary Distensibility Following Kawasaki Disease","year":2021,"lang":"en","type":"article","venue":"Pediatric Cardiology","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children; Université de Montréal; University of Toronto; Circle Cardiovascular Imaging","funders":"","keywords":"Medicine; Kawasaki disease; Cardiology; Internal medicine; Coronary arteries; Coronary artery disease; Artery; Cardiac surgery; Cardiac catheterization; Vasculitis; Cardiac cycle; Radiology; Disease","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002506259,0.0002541091,0.0006725774,0.0001294266,0.0001983459,0.00002421351,0.0001637481,0.000126684,0.00007126255],"category_scores_gemma":[0.0009650596,0.0002499684,0.0006380604,0.0006298577,0.00005601206,0.00005453175,0.0001585245,0.000322055,0.0001517064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448754,"about_ca_system_score_gemma":0.0008255264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005778285,"about_ca_topic_score_gemma":0.000001500065,"domain_scores_codex":[0.9975578,0.0003609555,0.0004256695,0.0008189099,0.0003453041,0.0004914198],"domain_scores_gemma":[0.9975595,0.0003509257,0.00006758264,0.0009156071,0.0002729738,0.000833374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002330176,0.0005494913,0.9837636,0.0001969509,0.0002136008,0.001147367,0.00003650973,0.0106999,0.00008370858,0.0003338452,0.001160838,0.001581188],"study_design_scores_gemma":[0.0009582767,0.0001272181,0.9832593,0.00000804653,0.001549296,0.0001384226,0.0001012827,0.01179037,0.00000344814,0.0001905673,0.001602432,0.000271296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619891,0.002272713,0.1226291,0.001652569,0.0003754437,0.000785067,0.00002849593,0.0004261011,0.009841396],"genre_scores_gemma":[0.9933732,0.00003448989,0.00326526,0.001393711,0.0006660647,0.0002645562,0.0006366948,0.000039895,0.0003261167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1313841,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625503879909608,"score_gpt":0.2882907622018695,"score_spread":0.2620357234027734,"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."}}