{"id":"W4365512629","doi":"10.1158/1538-7445.am2023-ct062","title":"Abstract CT062: GBM AGILE: A global, phase 2/3 adaptive platform trial to evaluate multiple regimens in newly diagnosed and recurrent glioblastoma","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Oncology; Biomarker; Randomization; Clinical trial; Glioblastoma; Agile software development; Internal medicine; Cancer research; Computer science; Biology","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":[0.002405834,0.001052702,0.0009457042,0.0003486574,0.0003062904,0.0008072247,0.0006461398,0.000786064,0.005289288],"category_scores_gemma":[0.00190986,0.0002116205,0.001353146,0.0003842708,0.0006571972,0.0007643849,0.0007691324,0.003092416,0.0007791612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007568708,"about_ca_system_score_gemma":0.00174004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009492523,"about_ca_topic_score_gemma":0.001913659,"domain_scores_codex":[0.9993723,0.0003867822,0.00002512962,0.00008625929,0.00006663739,0.00006298442],"domain_scores_gemma":[0.9989736,0.0001985573,0.0001737142,0.00009356283,0.0001002334,0.0004602255],"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":[0.6171908,0.01930594,0.00837089,0.001475819,0.002510628,0.0003660818,0.0002408865,0.01267893,0.02345039,0.001941648,0.04704737,0.2654206],"study_design_scores_gemma":[0.6885082,0.2526884,0.01759205,0.0002749427,0.001299499,0.0005019688,0.0001082107,0.01211796,0.008550993,0.002884506,0.01537279,0.0001004679],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965089,0.003615927,0.006207414,0.003967423,0.0005390681,0.004401274,0.006428553,0.001010612,0.008740639],"genre_scores_gemma":[0.9594052,0.001769314,0.01225119,0.003770971,0.0003711204,0.005425505,0.009284159,0.0002398164,0.007482743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005289288,"threshold_uncertainty_score":0.01769441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779870285181066,"score_gpt":0.4789060208767832,"score_spread":0.3009189923586766,"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."}}