{"id":"W2341386228","doi":"10.1097/pai.0000000000000367","title":"New MYC IHC Classifier Integrating Quantitative Architecture Parameters to Predict MYC Gene Translocation in Diffuse Large B-Cell Lymphoma","year":2016,"lang":"en","type":"article","venue":"Applied immunohistochemistry & molecular morphology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Immunohistochemistry; Bivariate analysis; Biology; Classifier (UML); Pathology; Medicine; Mathematics; Artificial intelligence; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001613621,0.0004852448,0.0006541945,0.0001800808,0.00007776706,0.00001971344,0.00026132,0.0003407861,0.00008484077],"category_scores_gemma":[0.0001063377,0.0003759443,0.000212621,0.0003339137,0.0001265387,0.00003414402,0.00008166936,0.0001925687,0.0001039978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008056283,"about_ca_system_score_gemma":0.0003360513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002154161,"about_ca_topic_score_gemma":0.000003419784,"domain_scores_codex":[0.9974808,0.00006325905,0.0006096391,0.0008780407,0.0002982862,0.0006700344],"domain_scores_gemma":[0.9984678,0.0001579187,0.0001811207,0.0008178693,0.0000693141,0.0003059496],"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":[0.0008052409,0.001979141,0.0004239119,0.00003997687,0.0001523297,0.0003938259,0.0007392318,0.000008847716,0.9704344,0.0004253464,0.0005643686,0.02403333],"study_design_scores_gemma":[0.02518827,0.000422032,0.003271625,0.000192118,0.0001604167,0.0002255908,0.0002543104,0.00001330418,0.9690716,0.0002703499,0.0005211668,0.0004092251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436198,0.001183478,0.05066999,0.001431839,0.0001080919,0.000915294,0.00004675995,0.0000836149,0.001941171],"genre_scores_gemma":[0.9710145,0.00006935542,0.02643771,0.001226323,0.00003537168,0.0005516866,0.0001795455,0.00007169558,0.000413842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02739471,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008503654402056374,"score_gpt":0.2534508666192326,"score_spread":0.2449472122171762,"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."}}