{"id":"W2039658745","doi":"10.1177/1740774510368301","title":"Trends in the application of dynamic allocation methods in multi-arm cancer clinical trials","year":2010,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; London Health Sciences Centre; McMaster University","funders":"","keywords":"Clinical trial; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4702759,0.0009645296,0.003444557,0.01901451,0.0009441633,0.008368284,0.004052813,0.00407606,0.002833932],"category_scores_gemma":[0.8128355,0.001855262,0.005746981,0.02555722,0.004473952,0.009644631,0.003442806,0.005084341,0.0007374701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008049844,"about_ca_system_score_gemma":0.005872419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223492,"about_ca_topic_score_gemma":0.004229493,"domain_scores_codex":[0.411205,0.3850054,0.106582,0.02964799,0.06598177,0.001577802],"domain_scores_gemma":[0.04430643,0.7918428,0.1054167,0.01974962,0.03778051,0.0009038807],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00664198,0.0002058385,0.162066,0.0700995,0.01373988,0.0002244259,0.00496546,0.007186413,0.001558419,0.01602614,0.01563662,0.7016494],"study_design_scores_gemma":[0.00402208,0.005886353,0.5465055,0.1431464,0.01287451,0.004269038,0.00347915,0.02959023,0.004772691,0.03289063,0.2117959,0.0007676625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08331218,0.7947835,0.06877898,0.03085873,0.001776469,0.002265995,0.004129866,0.0004569578,0.01363729],"genre_scores_gemma":[0.6637102,0.2014457,0.1095119,0.01117841,0.002859539,0.00571246,0.003591987,0.0005537375,0.001435995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5297241,"threshold_uncertainty_score":0.6532442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9049874966009664,"score_gpt":0.7889799673320202,"score_spread":0.1160075292689462,"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."}}