{"id":"W2007979305","doi":"10.1016/j.jcct.2013.05.005","title":"Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Coronary artery disease; Coronary arteries; Radiology; Gold standard (test); Algorithm; Diagnostic accuracy; Cardiology; Artery; Computer science","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":[0.05132607,0.005236819,0.005157677,0.001406457,0.001989571,0.004731718,0.002532396,0.005513047,0.01204461],"category_scores_gemma":[0.04831311,0.003838244,0.003275192,0.001050606,0.006482115,0.002778926,0.001852488,0.005097013,0.004673573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732051,"about_ca_system_score_gemma":0.005405534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007921185,"about_ca_topic_score_gemma":0.001009734,"domain_scores_codex":[0.9763064,0.01468385,0.002091401,0.003352457,0.002194416,0.001371402],"domain_scores_gemma":[0.9887735,0.004132416,0.002606978,0.001932762,0.001112924,0.001441467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8427849,0.008500374,0.01886173,0.0108329,0.0076931,0.000868889,0.001034053,0.003356717,0.005001666,0.03111913,0.01172419,0.05822241],"study_design_scores_gemma":[0.8204688,0.06436291,0.01689191,0.00335689,0.009021383,0.0006780942,0.0004918028,0.006882388,0.003512233,0.03046039,0.04338333,0.0004899356],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2063945,0.02129428,0.05467072,0.0122784,0.009448349,0.6611265,0.00972965,0.0006315199,0.02442606],"genre_scores_gemma":[0.5103783,0.002986386,0.0566167,0.008927478,0.003650148,0.4086058,0.003054742,0.0002007902,0.005579671],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05132607,"threshold_uncertainty_score":0.2714415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325591172533095,"score_gpt":0.2365412494381393,"score_spread":0.2232853377128083,"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."}}