{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004354037,0.0004105273,0.001357546,0.0002165588,0.0002082947,0.00003442826,0.0004786862,0.0002402035,0.0006218968],"category_scores_gemma":[0.09804448,0.0003623364,0.0001646336,0.0007051951,0.00018801,0.00006821362,0.0007528257,0.001048298,0.00007708651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008917407,"about_ca_system_score_gemma":0.0003499554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482823,"about_ca_topic_score_gemma":0.0002019065,"domain_scores_codex":[0.9922084,0.003771877,0.001480531,0.001068138,0.0007385229,0.0007325744],"domain_scores_gemma":[0.9330764,0.06523591,0.0005443251,0.0006259177,0.00009990834,0.0004175627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.4660764,0.009493909,0.00007860801,0.0000623623,0.000168896,0.002602343,0.001356652,0.0002960309,0.002271294,0.04264629,0.06414817,0.410799],"study_design_scores_gemma":[0.3228366,0.1277685,0.0001176705,0.0000958827,0.00032136,0.0001310186,0.0007398946,0.007908179,0.001209871,0.4039788,0.1339141,0.0009781077],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770293,0.00004327107,0.003141267,0.005117933,0.005781056,0.006010465,0.001122192,0.000195496,0.001559015],"genre_scores_gemma":[0.6552638,0.0001670034,0.3276667,0.01044686,0.001453907,0.004704456,0.00002175883,0.0002090206,0.00006646272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4098209,"threshold_uncertainty_score":0.9998829,"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."}}