{"id":"W2323818785","doi":"10.5414/cpp41217","title":"Scaling or wider bioequivalence limits for highly variable drugs and for the special case of Cmax","year":2003,"lang":"en","type":"article","venue":"International Journal of Clinical Pharmacology and Therapeutics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"","keywords":"Bioequivalence; Cmax; Geometric mean; Statistics; Scaling; Mathematics; Metric (unit); Drug; Econometrics; Pharmacology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008070412,0.00013116,0.0006082007,0.00005375851,0.00009437816,0.00002748355,0.0002806876,0.0001911111,0.0001459537],"category_scores_gemma":[0.03193562,0.0000788075,0.0002012135,0.00005839932,0.0005260238,0.00007393492,0.00004042202,0.0003594906,3.051728e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001375323,"about_ca_system_score_gemma":0.0001728327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.653132e-7,"about_ca_topic_score_gemma":9.699659e-7,"domain_scores_codex":[0.9970251,0.0006214697,0.001803446,0.0001733643,0.0002077521,0.0001689218],"domain_scores_gemma":[0.8211114,0.1769492,0.000989894,0.00007822839,0.0007775139,0.00009372724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01932836,0.00168988,0.001267037,0.000283334,0.00666737,0.0002304067,0.0007005706,0.00004579295,0.001692031,0.6765287,0.006292259,0.2852743],"study_design_scores_gemma":[0.008093953,0.0009830929,0.00008463671,0.00006933173,0.001360072,0.0006006626,0.0002008984,0.00142363,0.00232672,0.9350603,0.04966285,0.0001339016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1962512,0.001042375,0.7677389,0.008513604,0.02444783,0.001302651,0.00030017,0.00001458635,0.0003886458],"genre_scores_gemma":[0.3257543,0.002684246,0.6611108,0.003857187,0.006375478,0.0000205839,3.649446e-7,0.00002917109,0.0001679584],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2851404,"threshold_uncertainty_score":0.9762188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6098432465095782,"score_gpt":0.6446210051782783,"score_spread":0.03477775866870003,"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."}}