{"id":"W2889889395","doi":"10.1200/jco.2018.36.15_suppl.2028","title":"Genomic landscape of pineoblastoma.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical 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":"Medicine; Internal medicine; Incidence (geometry); Oncology; Germline; Genetics; Biology; Gene","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":[0.0001134573,0.0001595251,0.0001956948,0.0008902051,0.0003113671,0.0003545793,0.0001842065,0.0001823564,0.002937085],"category_scores_gemma":[0.0003478278,0.00008534707,0.0001763198,0.000863756,0.0002316504,0.0001572483,0.0002660795,0.0001686685,0.0002988489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283499,"about_ca_system_score_gemma":0.0002780691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405111,"about_ca_topic_score_gemma":0.003042962,"domain_scores_codex":[0.9999056,0.0000107789,0.000005018328,0.00003655603,0.00002233769,0.00001979319],"domain_scores_gemma":[0.9997868,0.00004231288,0.000112525,0.00001178761,0.00002355197,0.00002304279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007710609,0.00004915843,0.6343558,0.0004989541,0.000266586,0.004587975,0.0007984724,0.001227627,0.2916709,0.001704939,0.001490018,0.06257842],"study_design_scores_gemma":[0.000008902374,0.0001391919,0.9743907,0.00003477525,0.0001604413,0.007027575,0.0004306494,0.0008255137,0.007771683,0.001312823,0.007887733,0.00001007096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877113,0.004944055,0.001255919,0.0002607887,0.00000969969,0.00001555889,0.002475292,0.00007274262,0.003254683],"genre_scores_gemma":[0.9959849,0.0009459657,0.0006969395,0.00007356239,0.0000109239,0.00001012981,0.00163099,0.00001187929,0.000634725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002937085,"threshold_uncertainty_score":0.009825528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09425203884546483,"score_gpt":0.4562308206766845,"score_spread":0.3619787818312196,"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."}}