{"id":"W4312191040","doi":"10.1148/ryct.220039","title":"Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in Uncomplicated Type B Aortic Dissection: Study Design and Rationale","year":2022,"lang":"en","type":"article","venue":"Radiology Cardiothoracic Imaging","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; Universitätsspital Zürich; Università di Bologna; Harvard University; Universität Zürich; Medical Center, University of Pittsburgh; University of Pittsburgh; Maastricht Universitair Medisch Centrum; Emory University; University of Toronto; Universiteit Maastricht; Massachusetts General Hospital; University of Texas Health Science Center at Houston; American Heart Association","keywords":"Medicine; Aortic dissection; Proportional hazards model; Retrospective cohort study; Adverse effect; Single Center; Population; Clinical endpoint; Internal medicine; Radiology; Aorta; Surgery; Cardiology; Clinical trial","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06865764,0.00139268,0.0009843671,0.001411973,0.0007194281,0.001187667,0.002853035,0.0007311455,0.001689343],"category_scores_gemma":[0.05973508,0.0008302651,0.001693983,0.001759478,0.0009814968,0.001009637,0.003083134,0.001204148,0.0004331646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007999406,"about_ca_system_score_gemma":0.005291273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821213,"about_ca_topic_score_gemma":0.001668634,"domain_scores_codex":[0.951022,0.04145762,0.002037983,0.002664706,0.00231706,0.0005006791],"domain_scores_gemma":[0.9559638,0.01861635,0.008984851,0.01092787,0.004191178,0.001316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01541333,0.003235308,0.9303762,0.0006725452,0.002340544,0.0002301715,0.0003814072,0.01279007,0.0007671212,0.003048499,0.002426756,0.02831792],"study_design_scores_gemma":[0.02690467,0.04911585,0.717676,0.0008713444,0.006116118,0.002381696,0.001218161,0.1569782,0.005901172,0.007279828,0.02511659,0.0004403702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.8391165,0.001687548,0.1020719,0.001087126,0.0002906147,0.04154369,0.01090721,0.0002895546,0.003005867],"genre_scores_gemma":[0.8329465,0.0005518147,0.09131039,0.0006096361,0.0003941724,0.06538267,0.008040925,0.00007920109,0.0006845774],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.06865764,"threshold_uncertainty_score":0.3631006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899128192842973,"score_gpt":0.3313691016500692,"score_spread":0.3023778197216395,"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."}}