{"id":"W4287832036","doi":"10.18433/jpps33093","title":"Erratum to 'Piecing Together Human Adult Comparative Pharmacokinetic Trials and Rodent Studies: What Happens to Drug Clearance in Obesity?'","year":2022,"lang":"en","type":"erratum","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacokinetics; Human obesity; Pharmacology; Drug; Rodent; Medicine; Rodent model; Obesity; Psychology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03805908,0.0009823475,0.005282201,0.001064824,0.0006730793,0.0006712542,0.002253963,0.0001855175,0.002082884],"category_scores_gemma":[0.04739925,0.0007581645,0.0006677487,0.002044,0.001029613,0.0008124228,0.00130399,0.004461686,0.00003838831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006478214,"about_ca_system_score_gemma":0.0005388794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004511345,"about_ca_topic_score_gemma":0.0000506301,"domain_scores_codex":[0.9807476,0.007549492,0.005611185,0.001384806,0.003357457,0.001349504],"domain_scores_gemma":[0.9516091,0.04251795,0.002784316,0.000438339,0.0009945929,0.001655641],"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":[0.002556432,0.001541223,0.0002843057,0.001116145,0.001090603,0.0006098994,0.01435003,0.0004208309,0.004042901,0.003020884,0.9389467,0.03202008],"study_design_scores_gemma":[0.01215771,0.002089757,0.0002341164,0.00753843,0.003043359,0.0002144715,0.01729263,0.002005789,0.00882114,0.1349699,0.8090136,0.002619077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5028003,0.1006635,0.004099468,0.08722135,0.2670476,0.01799914,0.0006683964,0.0003520545,0.01914824],"genre_scores_gemma":[0.3114028,0.1160581,0.4188399,0.07689819,0.03582356,0.00121683,0.00001345994,0.0008152298,0.03893198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4147404,"threshold_uncertainty_score":0.9994869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7273250630193224,"score_gpt":0.6632658467853536,"score_spread":0.06405921623396882,"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."}}