{"id":"W2410408783","doi":"10.1016/j.clinthera.2010.02.009","title":"","year":2010,"lang":"en","type":"letter","venue":"Clinical Therapeutics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bioequivalence; Medicine; Medical physics; Pharmacology; Pharmacokinetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01180045,0.001214416,0.002438238,0.001398096,0.004422901,0.008502813,0.002363158,0.06570933,0.01985],"category_scores_gemma":[0.08865102,0.001025005,0.001592028,0.001045784,0.00580963,0.004157106,0.002150571,0.06971009,0.02200358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008586277,"about_ca_system_score_gemma":0.007593513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008720069,"about_ca_topic_score_gemma":0.02478073,"domain_scores_codex":[0.9906363,0.003692733,0.0009667937,0.001260279,0.0026243,0.0008196571],"domain_scores_gemma":[0.9618146,0.0249767,0.001480208,0.0016034,0.005522588,0.004602469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004822679,0.00004284289,0.000456873,0.00005210036,0.00001760618,0.000384911,0.00005114344,0.0001016259,0.00008069369,0.007505365,0.9770208,0.01423776],"study_design_scores_gemma":[0.0002220865,0.00008305228,0.001851648,0.0005984779,0.0000431214,0.001441724,0.0001881203,0.001655274,0.0002050907,0.05983131,0.9337909,0.00008911407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001613225,0.00080413,0.0004169238,0.9779559,0.01415895,0.0000306573,0.00007695104,0.00004106953,0.006354025],"genre_scores_gemma":[0.0013405,0.0005569658,0.0006544866,0.9464005,0.03388354,0.0001087894,0.00003208543,0.00002503481,0.01699814],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.98015,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.876935786707712,"score_gpt":0.6757686286756017,"score_spread":0.2011671580321103,"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."}}