{"id":"W2605062205","doi":"10.1158/1078-0432.ccr-16-2354","title":"Use of Expansion Cohorts in Phase I Trials and Probability of Success in Phase II for 381 Anticancer Drugs","year":2017,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Cohort; Confidence interval; Internal medicine; Clinical trial; Cohort study; Logistic regression; Phases of clinical research; Oncology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09633612,0.0002055979,0.003057814,0.0002078656,0.0001665872,0.00006537418,0.0006787531,0.0004069156,0.0002310394],"category_scores_gemma":[0.6628594,0.0001621053,0.0002875666,0.0002902468,0.002607809,0.0002348332,0.0006257729,0.0008794717,5.378539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125325,"about_ca_system_score_gemma":0.0006301787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068904,"about_ca_topic_score_gemma":0.0005704527,"domain_scores_codex":[0.9863214,0.00616494,0.004987948,0.0008956401,0.001006825,0.0006232284],"domain_scores_gemma":[0.7582783,0.2378095,0.001330147,0.001421021,0.0008886888,0.0002723108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.04639135,0.01902349,0.1330211,0.004218722,0.0002333424,0.00002911495,0.0008060846,0.000005716185,0.003865118,0.02688441,0.002353184,0.7631684],"study_design_scores_gemma":[0.03673948,0.00419836,0.01771977,0.001701262,0.0001207758,3.033644e-7,0.00006479455,0.00141639,0.01254417,0.924759,0.0004490968,0.0002865919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918848,0.000158515,0.001669034,0.001016367,0.0004298702,0.004098041,0.0006650584,0.000009850887,0.0000684176],"genre_scores_gemma":[0.9083074,0.00101643,0.08966181,0.00002975398,0.0002597127,0.0006218148,0.000002231104,0.00003393378,0.00006691867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8978746,"threshold_uncertainty_score":0.960858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.935117757440753,"score_gpt":0.7769513201782015,"score_spread":0.1581664372625515,"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."}}