{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000181796,0.0001364168,0.0003543026,0.000136318,0.00004174739,0.000004160627,0.00003981374,0.00007059395,0.00001440717],"category_scores_gemma":[0.0006254989,0.0000829076,0.00005564508,0.0001313428,0.00007737807,0.00004853328,0.0000214089,0.00006687519,6.074438e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009358369,"about_ca_system_score_gemma":0.00007645868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008822352,"about_ca_topic_score_gemma":0.0006057912,"domain_scores_codex":[0.9987882,0.000199312,0.0003652569,0.0003059893,0.0001856661,0.0001555445],"domain_scores_gemma":[0.9980901,0.0008699165,0.0004021029,0.0002257694,0.0003311949,0.00008085071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006918194,0.004739702,0.7618108,0.00006584884,0.0002230795,0.00004618256,0.0005985126,0.00001099075,0.1411255,0.00003533654,0.0001332971,0.08429257],"study_design_scores_gemma":[0.04245483,0.0481923,0.7748821,0.0001743779,0.000852048,0.000007675025,0.00227419,0.0002830875,0.1303724,0.00003085238,0.0003321044,0.0001440368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970235,0.00004530145,0.0002824855,0.0002460197,0.00008485465,0.002225778,0.00003909109,0.00001414172,0.00003878724],"genre_scores_gemma":[0.9988612,0.00003345837,0.0008085844,0.00002490934,0.00001632346,0.0002251389,0.000009927111,0.00001867398,0.000001816344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08414853,"threshold_uncertainty_score":0.3380874,"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."}}