{"id":"W4246905884","doi":"10.1002/0470011815.b2a04003","title":"Bioequivalence","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Biostatistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bioequivalence; Bioavailability; Nonparametric statistics; Econometrics; Mathematics; Pharmacology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0065368,0.0007421845,0.001673598,0.002283844,0.0005189392,0.002757278,0.001326508,0.00154907,0.05484671],"category_scores_gemma":[0.01492691,0.0002089606,0.001195383,0.002295603,0.001132217,0.001266244,0.001337375,0.002106729,0.0136492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521639,"about_ca_system_score_gemma":0.002114348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009085234,"about_ca_topic_score_gemma":0.000642462,"domain_scores_codex":[0.9905709,0.003982,0.00069009,0.0008972292,0.003659417,0.0002003609],"domain_scores_gemma":[0.9969562,0.001258044,0.0004086974,0.0004976463,0.0007777415,0.0001016602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005839551,0.0002939354,0.0008604787,0.004159854,0.0002807587,0.0001928401,0.0002501131,0.001573328,0.008971218,0.1052769,0.05684337,0.8207133],"study_design_scores_gemma":[0.0001436299,0.0007614265,0.003139188,0.001984713,0.0002001375,0.001231898,0.0001009662,0.001310608,0.007679487,0.03663784,0.9467712,0.0000388083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01641229,0.2005566,0.1661466,0.007864693,0.003845515,0.002788346,0.008830233,0.001281693,0.592274],"genre_scores_gemma":[0.4121339,0.1683602,0.1458159,0.007978924,0.002603936,0.006621118,0.0129923,0.0009957113,0.242498],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05484671,"threshold_uncertainty_score":0.1834805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2575517484898284,"score_gpt":0.5070750735515941,"score_spread":0.2495233250617657,"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."}}