{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002260151,0.0004101488,0.001515399,0.000100645,0.00008122533,0.00004041121,0.0003960345,0.0003985321,0.0001964707],"category_scores_gemma":[0.2266986,0.0003452217,0.0001638038,0.0006494407,0.0002332761,0.00009496482,0.0004451046,0.0006382692,0.00009715957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599348,"about_ca_system_score_gemma":0.0003411357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003029349,"about_ca_topic_score_gemma":0.0004400103,"domain_scores_codex":[0.9940948,0.00209193,0.001587218,0.001033064,0.0005075565,0.0006854064],"domain_scores_gemma":[0.9306986,0.06748339,0.0004811092,0.0004347524,0.0001488902,0.000753227],"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":[0.4099091,0.005863876,0.0004384857,0.0002145579,0.0002059624,0.002954117,0.003693122,0.00006564762,0.01097133,0.0248596,0.06730066,0.4735235],"study_design_scores_gemma":[0.4948066,0.1183823,0.000312794,0.00023135,0.0006562386,0.00008851945,0.0008335751,0.01820338,0.00445736,0.2707108,0.08991572,0.001401334],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9623325,0.00004939661,0.01506684,0.01270135,0.002765991,0.005571022,0.0004712291,0.0002433108,0.0007983326],"genre_scores_gemma":[0.4799692,0.0001105301,0.5068629,0.01018638,0.001735771,0.0009929492,0.000005575066,0.0001235391,0.0000131111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4917961,"threshold_uncertainty_score":0.9999,"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."}}