{"id":"W4234888114","doi":"10.1002/9781118445112.stat03700","title":"Bioequivalence","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","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":[0.009416556,0.0007941017,0.001909771,0.002734832,0.0005667979,0.002895603,0.001414859,0.001600014,0.06647929],"category_scores_gemma":[0.02352471,0.0002562756,0.00156904,0.002670579,0.001402038,0.001443887,0.001492048,0.002477014,0.01728697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605012,"about_ca_system_score_gemma":0.002553667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103695,"about_ca_topic_score_gemma":0.00071416,"domain_scores_codex":[0.9874349,0.005448797,0.001053617,0.001242215,0.004574085,0.00024643],"domain_scores_gemma":[0.9953046,0.002147616,0.000595278,0.0007308843,0.001085982,0.0001356732],"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":[0.0007799793,0.0003045757,0.0008556195,0.005438285,0.000364184,0.0001728354,0.0002703914,0.001621634,0.006956807,0.100948,0.08054006,0.8017477],"study_design_scores_gemma":[0.0001931369,0.0007364829,0.002643556,0.002402392,0.0002519093,0.001026573,0.0000853286,0.001369895,0.006482719,0.03922348,0.9455381,0.0000463989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01510138,0.1953691,0.1953924,0.00992821,0.004919458,0.00392683,0.01559345,0.002018997,0.5577502],"genre_scores_gemma":[0.3966455,0.171942,0.1593654,0.009413111,0.00363845,0.008574529,0.02179954,0.001911883,0.2267097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06647929,"threshold_uncertainty_score":0.2223954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5472939468508446,"score_gpt":0.5590037520661518,"score_spread":0.01170980521530718,"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."}}