{"id":"W3111132783","doi":"10.1093/neuonc/noaa215.816","title":"RTID-11. GBM AGILE: A GLOBAL, PHASE 2/3 ADAPTIVE PLATFORM TRIAL TO EVALUATE MULTIPLE REGIMENS IN NEWLY DIAGNOSED AND RECURRENT GLIOBLASTOMA","year":2020,"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":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Clinical trial; Medicine; Clinical endpoint; Agile software development; Glioblastoma; Medical physics; Oncology; Internal medicine; Computer science; Cancer research","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":[0.003453046,0.0009891315,0.0009276753,0.0004130727,0.000398839,0.001083667,0.0005037325,0.0009485404,0.006222678],"category_scores_gemma":[0.00206584,0.0002546988,0.001477427,0.0003817158,0.0008121146,0.000900396,0.0007869513,0.003658325,0.0009658668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625786,"about_ca_system_score_gemma":0.001634322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000880032,"about_ca_topic_score_gemma":0.001946661,"domain_scores_codex":[0.9990087,0.0006616618,0.00003316598,0.0001132089,0.00008327072,0.0001000324],"domain_scores_gemma":[0.9991316,0.0002184823,0.0001508525,0.00008476106,0.00008604003,0.0003282622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5304109,0.02558044,0.005968095,0.002340781,0.002419909,0.0003290334,0.0003597214,0.007557021,0.01544093,0.005457052,0.07040504,0.3337311],"study_design_scores_gemma":[0.7186317,0.2139543,0.01044627,0.0006021345,0.001257545,0.0004415636,0.0002124722,0.00754567,0.005089683,0.005015771,0.03669462,0.0001082067],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9195323,0.01119941,0.007669158,0.009843728,0.001914693,0.01047312,0.009997775,0.001259589,0.02811022],"genre_scores_gemma":[0.9442723,0.004119051,0.01122288,0.00850262,0.0005443153,0.009991171,0.007954238,0.0002454942,0.01314799],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.006222678,"threshold_uncertainty_score":0.02081686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4516531105571223,"score_gpt":0.5440306338959288,"score_spread":0.09237752333880644,"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."}}