{"id":"W4294686035","doi":"10.1093/neuonc/noac174.254","title":"P11.65.B GBM AGILE: A global, phase 2/3 adaptive platform trial to evaluate multiple treatment 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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Agile software development; Medicine; Randomization; Protocol (science); Clinical trial; Biomarker; Medical physics; Oncology; Computer science; Internal medicine; Software engineering; Pathology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002771517,0.0004268267,0.001447571,0.0001786496,0.0002059711,0.00003058867,0.0003485036,0.0002174869,0.0004791664],"category_scores_gemma":[0.05848194,0.0003557914,0.0001927619,0.0006037269,0.0001680183,0.00006270564,0.0005533544,0.0005712962,0.00003840758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762979,"about_ca_system_score_gemma":0.0004629524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007931793,"about_ca_topic_score_gemma":0.0005384018,"domain_scores_codex":[0.9929224,0.003344422,0.001426558,0.00101246,0.0005874796,0.0007067226],"domain_scores_gemma":[0.9353366,0.06308468,0.0004869559,0.0005732154,0.00008990722,0.0004286373],"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":[0.2918263,0.01202008,0.0001564283,0.00003995194,0.0002249158,0.002453472,0.002114921,0.0001312161,0.002517409,0.01176188,0.01615878,0.6605946],"study_design_scores_gemma":[0.4286968,0.2127565,0.0001515635,0.00006240162,0.000605855,0.0001924304,0.00111229,0.006304479,0.001430025,0.235022,0.1127537,0.0009120505],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818053,0.0000820595,0.002362554,0.002906879,0.004104228,0.006611842,0.001005675,0.000164806,0.0009566334],"genre_scores_gemma":[0.622617,0.000242804,0.3641671,0.003342689,0.001278286,0.008042364,0.00001935794,0.0001760764,0.0001143434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6596826,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4195986878733863,"score_gpt":0.5471289144013946,"score_spread":0.1275302265280083,"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."}}