{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007936149,0.0001949212,0.0006524705,0.00003994718,0.00009078962,0.00001215305,0.00009362471,0.0001924916,0.00002647589],"category_scores_gemma":[0.0003251308,0.0001605846,0.0005339465,0.0001475328,0.00009561171,0.00008227953,0.000002816031,0.0002310059,0.000006967571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001290602,"about_ca_system_score_gemma":0.00009546765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002456353,"about_ca_topic_score_gemma":0.000004864164,"domain_scores_codex":[0.9979219,0.0002122328,0.0009746398,0.0003809254,0.0002998031,0.0002104737],"domain_scores_gemma":[0.9974816,0.001807347,0.0001944693,0.0001469872,0.0001111408,0.0002583968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001273809,0.0002143827,0.9382828,0.001045896,0.0010321,0.000004244837,0.009481071,0.00001069043,0.02238452,0.00005375789,0.0001269185,0.02608976],"study_design_scores_gemma":[0.003032941,0.0006427524,0.9216853,0.00008032495,0.001579562,0.000002290483,0.0002893868,0.00002636101,0.068808,0.00005001802,0.003577286,0.0002258056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958724,0.0002160689,0.2024677,0.0001182916,0.0002142568,0.0006301064,0.000374095,0.00005745651,0.00004961062],"genre_scores_gemma":[0.8821656,0.002815905,0.1133701,0.0002314609,0.0001542421,0.00003672091,0.001173542,0.00003359117,0.00001889692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08909763,"threshold_uncertainty_score":0.6548449,"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."}}