{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342668,0.0001387341,0.0003656911,0.0001535424,0.0001266414,0.000003647648,0.00005051125,0.0000206917,0.00001067381],"category_scores_gemma":[0.00007742974,0.0001257185,0.0000430257,0.0002635831,0.00007859047,0.00006560109,0.0001010672,0.0001109795,7.519401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066808,"about_ca_system_score_gemma":0.000134058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001066958,"about_ca_topic_score_gemma":4.550504e-7,"domain_scores_codex":[0.9987857,0.0002230284,0.0002550323,0.0003792296,0.0001789111,0.0001780966],"domain_scores_gemma":[0.9994367,0.00006515475,0.00007997143,0.0002473832,0.00003893311,0.0001318276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001292124,0.0005631673,0.9820341,0.00006580347,0.000175873,0.0001439952,0.0006265269,0.005540669,0.0006317158,0.00001048108,0.00007028248,0.008845228],"study_design_scores_gemma":[0.002379191,0.0007408832,0.8586916,0.00007473132,0.0008372897,0.0003937337,0.002715439,0.1334412,0.0000795663,0.0004246814,0.000008591124,0.0002131433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940275,0.001463103,0.002750822,0.0002693269,0.00004645194,0.001350078,0.00001031972,0.0000359083,0.00004648803],"genre_scores_gemma":[0.9977673,0.00001756196,0.001696396,0.00006162055,0.00002130882,0.000303602,0.00004265579,0.00001707944,0.00007243628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279005,"threshold_uncertainty_score":0.5126652,"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."}}