{"id":"W2229429945","doi":"10.1111/ctr.12689","title":"Multiplexed color‐coded probe‐based gene expression assessment for clinical molecular diagnostics in formalin‐fixed paraffin‐embedded human renal allograft tissue","year":2016,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pathology; Gene expression; Gene; Molecular diagnostics; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003363424,0.0008505993,0.0004796834,0.001143074,0.0002654155,0.0007653736,0.0005195851,0.0008498908,0.002497973],"category_scores_gemma":[0.00185637,0.0005150175,0.0004211333,0.0007330288,0.0006822922,0.0005560245,0.0004608417,0.0007792598,0.0009965944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212106,"about_ca_system_score_gemma":0.0005439397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912266,"about_ca_topic_score_gemma":0.0006914338,"domain_scores_codex":[0.9979522,0.0006982895,0.000133673,0.0006501398,0.0004368151,0.0001288948],"domain_scores_gemma":[0.9991488,0.0003902253,0.0001588184,0.0001048464,0.0001498017,0.00004742655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002500832,0.00009105948,0.001916568,0.000206798,0.00002995347,0.00006389292,0.00008606567,0.0005341331,0.9789954,0.0004421567,0.0003748928,0.01700892],"study_design_scores_gemma":[0.00004344762,0.0007716243,0.01238589,0.0000911414,0.0001047575,0.000632733,0.00009584167,0.01040977,0.9643231,0.0008264689,0.01026391,0.00005137383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2807318,0.00545045,0.7020015,0.0005717115,0.0003719147,0.00148075,0.00324842,0.001886955,0.004256507],"genre_scores_gemma":[0.3437238,0.003086256,0.6395348,0.0007431889,0.000142087,0.004168288,0.003226931,0.0002127513,0.005161743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003363424,"threshold_uncertainty_score":0.01778775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100462350124776,"score_gpt":0.468150446489814,"score_spread":0.367688096365038,"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."}}