{"id":"W2915771614","doi":"10.1097/pai.0000000000000734","title":"Diagnostic Accuracy in Fit-for-Purpose PD-L1 Testing","year":2019,"lang":"en","type":"article","venue":"Applied immunohistochemistry & molecular morphology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority; Vancouver General Hospital; University Health Network; University of Toronto; University of British Columbia","funders":"","keywords":"Gold standard (test); Quality assurance; Medicine; Diagnostic test; Medical physics; Tonsil; Diagnostic accuracy; External quality assessment; Computer science; Pathology; Internal medicine; Emergency medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.08979797,0.0013606,0.001571903,0.005141567,0.0009651727,0.005034279,0.003435143,0.002690364,0.001178417],"category_scores_gemma":[0.1401035,0.0008415226,0.001981947,0.002082514,0.003215011,0.001728218,0.003452209,0.001954652,0.001040938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324348,"about_ca_system_score_gemma":0.001616057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712388,"about_ca_topic_score_gemma":0.007507688,"domain_scores_codex":[0.8920332,0.05111585,0.009920477,0.01609793,0.02769144,0.003141168],"domain_scores_gemma":[0.8784697,0.07458577,0.01078164,0.01848355,0.01591148,0.001767859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004008331,0.0003703858,0.7905533,0.0009388082,0.001268241,0.0009978267,0.002290942,0.01524413,0.01973838,0.00704739,0.006812496,0.1507298],"study_design_scores_gemma":[0.0003331448,0.003797289,0.5640054,0.0009435624,0.001713248,0.00681247,0.001411994,0.1991272,0.1552529,0.02813951,0.03807459,0.000388778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6828579,0.01378289,0.2635108,0.00295325,0.0009120004,0.001069888,0.002841844,0.003427981,0.02864338],"genre_scores_gemma":[0.9511891,0.000443295,0.04528381,0.0008869773,0.00006890445,0.0001977365,0.0009833728,0.0001849781,0.0007617131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08979797,"threshold_uncertainty_score":0.4749027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009939194139760184,"score_gpt":0.256723156792273,"score_spread":0.2467839626525128,"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."}}