{"id":"W1765925601","doi":"10.1186/s12872-015-0106-1","title":"Performance of gene-expression profiling test score variability to predict future clinical events in heart transplant recipients","year":2015,"lang":"en","type":"article","venue":"BMC Cardiovascular Disorders","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Angiology; Medicine; Cardiac surgery; Internal medicine; Gene expression profiling; Heart transplantation; Profiling (computer programming); Cardiology; Gene expression; Transplantation; Gene; Genetics; Biology; 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":[0.004498941,0.0004088409,0.0005407064,0.0007206629,0.0001649449,0.000700997,0.0003227597,0.0005121234,0.0005095099],"category_scores_gemma":[0.009144551,0.0001193524,0.0004706427,0.0004279683,0.0003744096,0.0003866776,0.0004237233,0.0005059002,0.0001314009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266756,"about_ca_system_score_gemma":0.000174039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385183,"about_ca_topic_score_gemma":0.0001834458,"domain_scores_codex":[0.9979655,0.0009523119,0.000176005,0.0003943684,0.0003999322,0.0001120226],"domain_scores_gemma":[0.991053,0.005247284,0.002287313,0.0004826051,0.0004432098,0.0004864906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001867824,0.00007875444,0.9921603,0.00001194996,0.0001574162,0.00002645279,0.00002719382,0.0006785339,0.0004920459,0.0000207181,0.00006434619,0.004414561],"study_design_scores_gemma":[0.00006306943,0.001268442,0.9886286,0.00000764249,0.00009549774,0.000221375,0.00003740734,0.008606327,0.0008082767,0.0001145948,0.0001356508,0.00001303208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987007,0.0002829477,0.0006315404,0.00002503353,0.000005512343,0.000009789791,0.0001157732,0.000009282969,0.000219411],"genre_scores_gemma":[0.9996145,0.00002307427,0.0001784638,0.000009857995,0.000006767345,0.000007530916,0.0001397285,0.000001753603,0.00001833032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004498941,"threshold_uncertainty_score":0.02379298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403528389566969,"score_gpt":0.3227306651198937,"score_spread":0.278695381224224,"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."}}