{"id":"W6902176997","doi":"10.6084/m9.figshare.22617025","title":"Additional file 1 of Clinical significance of the hemodynamic gain index in patients undergoing exercise stress testing and coronary computed tomography angiography","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hemodynamics; Clinical significance; Coronary angiography; Coronary artery disease; Angiography; Computed tomography; Computed tomography angiography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001144887,0.0008897489,0.001283419,0.001387638,0.0005811905,0.00120425,0.001331233,0.001271573,0.821157],"category_scores_gemma":[0.03585927,0.000433014,0.0008185609,0.002110901,0.0001499457,0.001221113,0.0006560661,0.0009564288,0.0914673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006914368,"about_ca_system_score_gemma":0.001394363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007418511,"about_ca_topic_score_gemma":0.009874656,"domain_scores_codex":[0.9993438,0.0001408845,0.0001577946,0.0001620147,0.0001188365,0.00007658902],"domain_scores_gemma":[0.9748156,0.0194773,0.001811934,0.001035706,0.00245191,0.000407693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007286619,0.0001396549,0.006016509,0.00293043,0.0001102845,0.000110121,0.00004535605,0.0004631907,0.00008385784,0.00074475,0.9750502,0.013577],"study_design_scores_gemma":[0.01927604,0.001214508,0.1403535,0.01095722,0.0008205541,0.002309796,0.0007953106,0.006901165,0.001201342,0.02746583,0.7883803,0.0003243704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004610235,0.00003883831,0.0001968771,0.0001545289,0.00003122407,0.00009257872,0.9977858,0.00009772007,0.001141376],"genre_scores_gemma":[0.02867527,0.0003794684,0.003481832,0.001260699,0.0004636658,0.003374798,0.9429734,0.0004425892,0.01894834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.821157,"threshold_uncertainty_score":0.2550978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075753811044198,"score_gpt":0.3029157920427933,"score_spread":0.2721582539323514,"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."}}