{"id":"W2809184189","doi":"10.1093/neuonc/noy059.196","title":"EMBR-12. IMPROVED DIAGNOSTIC ALGORITHM FOR DIFFERENTIAL DIAGNOSTICS OF CNS EMBRYONAL TUMORS (FORMER CNS-PNET) BY NEUROPATHOLOGICAL RE-EVALUATION OF 256 CASES AND CROSSVALIDATION BY METHYLATION CLASSIFICATION","year":2018,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Epigenetics; Pathological; Medical diagnosis; Pathology; Atypical teratoid rhabdoid tumor; Differential diagnosis; Immunohistochemistry; Biology; Medicine","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":[0.003121623,0.0006070533,0.0005420767,0.003363421,0.0003202064,0.0006178113,0.0008082353,0.0005043266,0.004227093],"category_scores_gemma":[0.004072183,0.0003203331,0.0007677869,0.0008734297,0.0001873556,0.0004222787,0.00100912,0.0004642418,0.001421145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894744,"about_ca_system_score_gemma":0.0006953813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158897,"about_ca_topic_score_gemma":0.003055005,"domain_scores_codex":[0.9990498,0.0002620181,0.0001726145,0.0002825259,0.0001523513,0.00008074533],"domain_scores_gemma":[0.9986297,0.0004076445,0.0002962919,0.0001250259,0.0004333344,0.000108092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002682457,0.0002706198,0.7179977,0.0004846795,0.0004660406,0.001330016,0.0004694536,0.006762576,0.03297875,0.0006983773,0.015615,0.2202444],"study_design_scores_gemma":[0.0005714947,0.0009543737,0.7698507,0.0002765483,0.0006022832,0.01140326,0.0004372462,0.1524302,0.03034832,0.003070454,0.02992724,0.0001279623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8000992,0.000848135,0.1716666,0.0004577222,0.00009977574,0.001977838,0.01523313,0.005082927,0.00453464],"genre_scores_gemma":[0.6531955,0.0002954591,0.3052799,0.0002188401,0.00005369872,0.002611667,0.03367559,0.0004710993,0.004198265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004227093,"threshold_uncertainty_score":0.01650894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697243646509697,"score_gpt":0.3509857363044983,"score_spread":0.2940132998394013,"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."}}