{"id":"W3088885312","doi":"10.1111/ctr.14098","title":"Risk factors for early development of cardiac allograft vasculopathy by intravascular ultrasound","year":2020,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Medicine; Intravascular ultrasound; Internal medicine; Hazard ratio; Prednisone; Discontinuation; Cardiology; Cumulative incidence; Retrospective cohort study; Cohort; Single Center; Incidence (geometry); Risk factor; Surgery; Confidence interval","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":[0.0006129172,0.0002589839,0.0002474312,0.0005407989,0.0002562604,0.0004770724,0.0002658764,0.0003089416,0.002582542],"category_scores_gemma":[0.002063068,0.000182532,0.0003148561,0.0005731491,0.0002092632,0.0002953088,0.0002912959,0.0008636951,0.0002320574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533591,"about_ca_system_score_gemma":0.0003631323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008716866,"about_ca_topic_score_gemma":0.001125763,"domain_scores_codex":[0.9996381,0.0000964849,0.00003747705,0.00006338252,0.00009006909,0.00007452307],"domain_scores_gemma":[0.9968177,0.000620372,0.001758461,0.0001130174,0.0001752094,0.0005153208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006325619,0.00001478687,0.9991643,0.000003402097,0.00001069129,0.0000571368,0.000006662571,0.00001999016,0.00009345121,0.000007300785,0.00003053556,0.0005285404],"study_design_scores_gemma":[0.000004834508,0.000124406,0.9983151,0.000008453302,0.00002764079,0.001006865,0.00003304861,0.0002447971,0.00008496248,0.00002389163,0.0001231654,0.000002841657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982652,0.0006138638,0.000173939,0.00006559481,0.000007057293,0.000007643805,0.0001422433,0.000008002591,0.0007165197],"genre_scores_gemma":[0.9995821,0.00009608366,0.00009765029,0.00001326602,0.00001587219,0.000003135143,0.00008738011,0.000001261948,0.0001031775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582542,"threshold_uncertainty_score":0.008639514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06033754342569624,"score_gpt":0.3597990608550276,"score_spread":0.2994615174293313,"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."}}