{"id":"W2588208026","doi":"10.1093/neuonc/now212.816","title":"SURG-15. INTEGRATING MOLECULAR MARKERS AND EXTENT OF RESECTION FOR RISK STRATIFICATION OF PATIENTS WITH NEWLY-DIAGNOSED GLIOBLASTOMA: A MULTICENTRE STUDY","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Institute of Cancer Research; University of Calgary; Baker Hughes (Canada)","funders":"","keywords":"Risk stratification; Glioblastoma; Medicine; Stratification (seeds); Internal medicine; Oncology; Resection; Surgery; Cancer research; 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":[0.002252341,0.0006077054,0.0005707771,0.001169064,0.000409505,0.0007030168,0.0004714448,0.0004728062,0.0008765791],"category_scores_gemma":[0.00302816,0.0003549967,0.00154224,0.0009826664,0.0002926203,0.0005421351,0.000686261,0.0003949915,0.0005030921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706917,"about_ca_system_score_gemma":0.0006331309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003715714,"about_ca_topic_score_gemma":0.005267244,"domain_scores_codex":[0.998944,0.0004044365,0.0001617591,0.0002060781,0.0001559943,0.0001278562],"domain_scores_gemma":[0.9976348,0.0003225236,0.0008902808,0.000289574,0.0003026819,0.0005601725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00163011,0.0001229907,0.9951207,0.00002500565,0.0001874632,0.0001569742,0.00006152454,0.00005868574,0.0003094193,0.000006926536,0.00007517361,0.00224494],"study_design_scores_gemma":[0.0001507286,0.001453045,0.9969797,0.00001322401,0.0002019202,0.0004498509,0.0001005366,0.0002457778,0.000113259,0.00001316969,0.000268377,0.00001040724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989988,0.000358017,0.00009768447,0.00002476443,0.00001001315,0.00005958618,0.0002539897,0.000003845964,0.0001932482],"genre_scores_gemma":[0.9986889,0.0001690255,0.0002486641,0.00004116366,0.00002412843,0.00005143246,0.0006561367,0.00000365295,0.0001168612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003715714,"threshold_uncertainty_score":0.01191163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032159597133933,"score_gpt":0.2749552976788803,"score_spread":0.264633701707541,"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."}}