{"id":"W4308976590","doi":"10.1093/neuonc/noac209.303","title":"CTNI-38. UPDATE ON GBM AGILE: A GLOBAL, PHASE 2/3 ADAPTIVE PLATFORM TRIAL TO EVALUATE MULTIPLE REGIMENS IN NEWLY DIAGNOSED AND RECURRENT GLIOBLASTOMA","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Agile software development; Randomization; Biomarker; Clinical trial; Oncology; Glioblastoma; Protocol (science); Internal medicine; Computer science; Pathology; Cancer research; Alternative medicine; Biology; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008350118,0.001315056,0.002151508,0.0008762375,0.0004278755,0.001766239,0.001466428,0.001553055,0.006267048],"category_scores_gemma":[0.007903971,0.0003319245,0.002549077,0.001152961,0.000609109,0.001511622,0.0008889964,0.00448585,0.001630919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160204,"about_ca_system_score_gemma":0.002846214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085543,"about_ca_topic_score_gemma":0.00730553,"domain_scores_codex":[0.9980552,0.001184269,0.0001376637,0.0001591927,0.0003239263,0.0001397395],"domain_scores_gemma":[0.9960211,0.001359261,0.0006014198,0.0002868695,0.0007292099,0.001002292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.07079528,0.002801133,0.003099256,0.003950093,0.00286385,0.0002789551,0.0002197869,0.004712208,0.006802529,0.003212671,0.170448,0.7308162],"study_design_scores_gemma":[0.3873573,0.08844666,0.02699949,0.005916399,0.005761308,0.001228462,0.0002108165,0.006453236,0.006167561,0.01308585,0.4580442,0.00032864],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3833582,0.239512,0.03884302,0.1015285,0.01125308,0.03010002,0.07074309,0.004945995,0.1197161],"genre_scores_gemma":[0.5391704,0.1386989,0.08344584,0.07793128,0.005565226,0.04888921,0.06829797,0.002234813,0.03576645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008350118,"threshold_uncertainty_score":0.04416019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3613912606678735,"score_gpt":0.5353546190290961,"score_spread":0.1739633583612226,"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."}}