{"id":"W1968538911","doi":"10.1200/jco.2011.38.5732","title":"Design Issues in Randomized Phase II/III Trials","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Randomized controlled trial; Medicine; Phase (matter); Selection (genetic algorithm); N of 1 trial; Clinical trial; Accrual; Internal medicine; Computer science; Artificial intelligence","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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4189691,0.000270631,0.01302438,0.0002393621,0.00005337473,0.00001725003,0.0005221357,0.001015858,0.00180352],"category_scores_gemma":[0.9077305,0.000166014,0.001942526,0.0002478729,0.0006316023,0.0002402546,0.0001439907,0.001868287,0.00003106962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126217,"about_ca_system_score_gemma":0.0007701681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007365996,"about_ca_topic_score_gemma":0.000002003604,"domain_scores_codex":[0.8999875,0.07475863,0.02334269,0.0003046023,0.0008723922,0.0007341841],"domain_scores_gemma":[0.1560683,0.8310575,0.01116155,0.0004036082,0.0004961257,0.0008129062],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.5071061,0.01794417,0.0001896367,0.00003986388,0.001279294,0.0002170038,0.0006230671,0.000007835183,0.000120082,0.05304683,0.04240531,0.3770208],"study_design_scores_gemma":[0.3737835,0.005421381,0.00004374199,0.0001008019,0.0008629192,0.00003671169,0.00005316635,0.0001240668,0.0002057337,0.6082229,0.01099589,0.0001492057],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0856123,0.002551155,0.8723376,0.01314458,0.01805658,0.002744721,0.00001216603,0.0000510681,0.005489801],"genre_scores_gemma":[0.08085352,0.001369375,0.9102007,0.001078735,0.00605338,0.00002869677,2.153373e-7,0.00003284949,0.0003825647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.756299,"threshold_uncertainty_score":0.999109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8981866011790793,"score_gpt":0.7525624720174812,"score_spread":0.1456241291615982,"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."}}