{"id":"W2909027630","doi":"10.1016/j.healun.2019.01.006","title":"Infectious complications after heart transplantation in patients screened with gene expression profiling","year":2019,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Gene expression profiling; Profiling (computer programming); Transplantation; Heart transplantation; Medicine; Gene expression; Gene; Computational biology; Internal medicine; Biology; Genetics; 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":[0.0005191289,0.0002620414,0.0005314093,0.000913593,0.0004730111,0.001290966,0.0002258462,0.00049891,0.000631266],"category_scores_gemma":[0.001629825,0.000133734,0.0004606151,0.001018617,0.0003527129,0.0004746687,0.0004605672,0.0005943386,0.0001237854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003910392,"about_ca_system_score_gemma":0.0004071106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254473,"about_ca_topic_score_gemma":0.001715577,"domain_scores_codex":[0.9993149,0.0001449472,0.00006485064,0.0001119305,0.0001290882,0.0002343274],"domain_scores_gemma":[0.9992518,0.0001764818,0.0003105423,0.00003230886,0.00009895596,0.0001298094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002208438,0.00004774793,0.9968089,0.00000938641,0.00002792178,0.0002145443,0.0000612351,0.00001940846,0.0005789876,0.00002155261,0.0000603015,0.001929183],"study_design_scores_gemma":[0.000005253484,0.0001726443,0.9983439,0.00001163605,0.00004587166,0.0004725643,0.0003066973,0.0001207074,0.0002935838,0.00004536063,0.000176044,0.000005739972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986089,0.0004177689,0.0001258542,0.00005321069,0.00001334725,0.000008905078,0.0001810393,0.000004085671,0.0005869655],"genre_scores_gemma":[0.999153,0.0001874309,0.0001156408,0.0000711071,0.00002022702,0.00001156811,0.0002694941,0.000002079783,0.0001695106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001290966,"threshold_uncertainty_score":0.002837181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008887481113594949,"score_gpt":0.2754948822118697,"score_spread":0.2666074010982747,"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."}}