{"id":"W2134095592","doi":"10.1158/1078-0432.ccr-06-0909","title":"Setting the Bar in Phase II Trials: The Use of Historical Data for Determining “Go/No Go” Decision for Definitive Phase III Testing","year":2007,"lang":"en","type":"review","venue":"Clinical Cancer Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Null hypothesis; Clinical trial; Medicine; Null (SQL); Sample size determination; Protocol (science); Phase (matter); Statistics; Oncology; Research design; Internal medicine; Data mining; Computer science; Pathology; Alternative medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.741549,0.002637293,0.0130468,0.02022636,0.003580513,0.01545767,0.009417468,0.01437766,0.005804708],"category_scores_gemma":[0.9045036,0.003340015,0.009226432,0.01461432,0.01344905,0.03670569,0.009284117,0.01283435,0.002071302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005607608,"about_ca_system_score_gemma":0.01357801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059111,"about_ca_topic_score_gemma":0.001374248,"domain_scores_codex":[0.1428849,0.6971204,0.106606,0.01528787,0.03688203,0.001218876],"domain_scores_gemma":[0.04328112,0.8477887,0.06220457,0.02478557,0.02024574,0.0016942],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02427697,0.0004534295,0.04620581,0.1651101,0.02035041,0.0015811,0.008905421,0.00436318,0.002330851,0.0821998,0.04795435,0.5962687],"study_design_scores_gemma":[0.01947771,0.01122806,0.04063925,0.2892652,0.02562349,0.002964688,0.005506321,0.01858827,0.009354145,0.3681212,0.2070218,0.002209777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05669127,0.3242654,0.4067573,0.1166624,0.02334216,0.04172893,0.00692253,0.0008699694,0.02276004],"genre_scores_gemma":[0.4967082,0.03883372,0.323242,0.06773639,0.009011243,0.05973128,0.002848465,0.0004512456,0.001437519],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.258451,"threshold_uncertainty_score":0.3187162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.991818251432903,"score_gpt":0.8241548003108323,"score_spread":0.1676634511220707,"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."}}