{"id":"W2809581673","doi":"10.1093/neuonc/noy059.373","title":"LGG-32. EVALUATION OF PEDIATRIC GLIOMA OUTCOME USING INTRAOPERATIVE MRI: A COHORT STUDY USING I-MiND (IMRIS MULTICENTER iMRI NEUROSURGERY DATABASE)","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":"University of Calgary","funders":"","keywords":"Medicine; Neurosurgery; Intraoperative MRI; Interventional magnetic resonance imaging; Glioma; Cohort; Resection; Magnetic resonance imaging; Radiology; Surgery; Nuclear medicine; Pathology","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":[0.0003870313,0.0003046467,0.0002828565,0.001016545,0.0002738021,0.0005028469,0.0002821898,0.0002009541,0.0008581145],"category_scores_gemma":[0.001536857,0.0002024668,0.0003233825,0.001241014,0.0001924179,0.0005205756,0.0004563883,0.0002592344,0.0003527411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626174,"about_ca_system_score_gemma":0.0003713789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368166,"about_ca_topic_score_gemma":0.0048033,"domain_scores_codex":[0.9996989,0.00005280022,0.00003793219,0.00009804469,0.00006344461,0.0000489691],"domain_scores_gemma":[0.9991069,0.00008522959,0.0005055639,0.00008250264,0.0001030942,0.0001166225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000415632,0.00000958837,0.9988284,0.000003514665,0.00001219281,0.0001041469,0.00003145096,0.00001844595,0.0001156296,0.000006505566,0.00008021524,0.0007483549],"study_design_scores_gemma":[0.000005331196,0.00008152966,0.9983321,0.000004050156,0.00001727056,0.0009010343,0.0001693352,0.0001072325,0.0001227088,0.00001093784,0.0002455466,0.000002919681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988018,0.00005520774,0.00005279875,0.000007982268,9.693974e-7,0.00001144184,0.0008718119,0.000003112497,0.0001947546],"genre_scores_gemma":[0.9969091,0.0001119075,0.0001385984,0.00001256581,0.000004486858,0.00003469605,0.002702432,0.000005698932,0.00008055403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004368166,"threshold_uncertainty_score":0.00868547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116525404307962,"score_gpt":0.408902527717548,"score_spread":0.2972499872867519,"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."}}