{"id":"W2767872427","doi":"10.1093/neuonc/nox168.838","title":"QLIF-29. FUNCTIONAL AND EMPLOYMENT OUTCOMES IN IDH MUTANT GLIOBLASTOMA","year":2017,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Glioblastoma; Cohort; Internal medicine; IDH1; Confidence interval; Oncology; Performance status; Radiation therapy; Chemotherapy; Surgery; Mutation; Biology","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":[0.0009062518,0.0001497373,0.0002789382,0.001158272,0.0003252842,0.000455905,0.0002833528,0.0002000709,0.002833322],"category_scores_gemma":[0.002824059,0.00007424753,0.0003102054,0.001252259,0.0002087817,0.000264769,0.0004931935,0.000271472,0.0006589455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367172,"about_ca_system_score_gemma":0.0007016072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281175,"about_ca_topic_score_gemma":0.01862425,"domain_scores_codex":[0.9996537,0.0000681724,0.00005013676,0.00003975729,0.00008621415,0.0001020959],"domain_scores_gemma":[0.9986706,0.0001423898,0.0006663844,0.00003031261,0.0002883816,0.0002020608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005967392,0.00008012826,0.9837578,0.0000402091,0.00003707841,0.0001354028,0.0001067869,0.0003226949,0.0003066648,0.00006658926,0.002067641,0.01248217],"study_design_scores_gemma":[0.00002280631,0.0001720071,0.9977868,0.00001485937,0.00001312612,0.000166516,0.0000803467,0.0002816216,0.0001062676,0.00008124311,0.001268219,0.000006273501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885159,0.0002105523,0.0001517165,0.000168076,0.00001288969,0.0000625583,0.007805043,0.00001877041,0.003054564],"genre_scores_gemma":[0.9926755,0.0000727442,0.0001808666,0.000062587,0.000007086577,0.00007317002,0.006189102,0.000009152932,0.0007299456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01281175,"threshold_uncertainty_score":0.02547437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211585296185109,"score_gpt":0.33065285029169,"score_spread":0.3094943206731791,"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."}}