{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00356487,0.0009746448,0.000989238,0.0003520201,0.0003257263,0.0008949123,0.0005100761,0.0007839033,0.005058662],"category_scores_gemma":[0.002319337,0.0002117359,0.001297165,0.0003420196,0.0008029049,0.0006700637,0.0008998742,0.002497258,0.000805776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007184501,"about_ca_system_score_gemma":0.00210339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000949959,"about_ca_topic_score_gemma":0.001645722,"domain_scores_codex":[0.9989266,0.0007056537,0.00003896021,0.0001412763,0.00007694923,0.0001105865],"domain_scores_gemma":[0.9988474,0.0002484873,0.000205436,0.000115418,0.00008952396,0.0004937949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.6217573,0.02514679,0.006577752,0.001422634,0.002263743,0.0003123183,0.0003208428,0.01200129,0.02063036,0.003629465,0.03319913,0.2727384],"study_design_scores_gemma":[0.6088743,0.3289438,0.01548775,0.0003461804,0.001439159,0.0003850407,0.0001563473,0.01161844,0.00742361,0.005840266,0.01938015,0.0001050018],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610792,0.003128679,0.009177602,0.003567328,0.0006421033,0.007589331,0.004508673,0.0009825001,0.009324578],"genre_scores_gemma":[0.9605651,0.001352161,0.0159065,0.003299498,0.0002582365,0.008816245,0.003731463,0.0002074828,0.005863397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005058662,"threshold_uncertainty_score":0.01885301,"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."}}