{"id":"W2240321911","doi":"10.1200/jco.2009.27.15_suppl.6550","title":"Trends in the application of dynamic allocation methods in multiarm cancer clinical trials","year":2009,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; London Health Sciences Centre","funders":"","keywords":"Medicine; Clinical trial; Randomization; Oncology; Medical physics; Internal medicine","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","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2941616,0.0002074389,0.004795239,0.0003751598,0.00002150587,0.00001131324,0.0008483396,0.001053009,0.0001157778],"category_scores_gemma":[0.5544535,0.000125302,0.001200304,0.0007977036,0.0003668912,0.0001007085,0.00004687934,0.002362709,0.000002803028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690466,"about_ca_system_score_gemma":0.0006328181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003752086,"about_ca_topic_score_gemma":0.0002383119,"domain_scores_codex":[0.8994354,0.07195773,0.02676208,0.0005441711,0.0008559691,0.000444671],"domain_scores_gemma":[0.5105754,0.4768828,0.011245,0.0005874428,0.0004938979,0.0002154877],"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":[0.001897752,0.003427405,0.003838375,0.00001722432,0.00009807669,0.00002027557,0.0001246298,0.00002977543,0.0001820924,0.01223512,0.000640423,0.9774889],"study_design_scores_gemma":[0.008951329,0.004201981,0.3094156,0.0001238168,0.0004479272,0.00001484469,0.0001375209,0.006156635,0.0000486549,0.6668636,0.003482471,0.0001556087],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1321453,0.0006525447,0.8185806,0.04042479,0.004509858,0.001408873,0.00002695048,0.0000218336,0.002229291],"genre_scores_gemma":[0.3118966,0.0007952197,0.6850563,0.001382691,0.0008073681,0.00002273383,8.148609e-7,0.00001313577,0.00002508303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9773332,"threshold_uncertainty_score":0.9999389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8598207331158435,"score_gpt":0.8010714738024179,"score_spread":0.05874925931342556,"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."}}