{"id":"W2996466516","doi":"10.1007/s10928-019-09666-z","title":"Comparison of the gamma-Pareto convolution with conventional methods of characterising metformin pharmacokinetics in dogs","year":2019,"lang":"en","type":"review","venue":"Journal of Pharmacokinetics and Pharmacodynamics","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Royal University Hospital","funders":"","keywords":"Pharmacokinetics; Metformin; Convolution (computer science); Pareto principle; Pharmacology; Medicine; Mathematics; Computer science; Internal medicine; Statistics; Artificial intelligence; Insulin","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001284719,0.000509215,0.002042545,0.0002920167,0.00004209227,0.00002379698,0.0006224008,0.0002730338,0.00004901349],"category_scores_gemma":[0.00004492361,0.0003527427,0.0006000864,0.0004028301,0.0002704608,0.00001969974,0.0002051249,0.0007728672,4.361848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006105885,"about_ca_system_score_gemma":0.0005273077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005739792,"about_ca_topic_score_gemma":0.000002859653,"domain_scores_codex":[0.9962393,0.0006196559,0.001973458,0.0003316221,0.0004963452,0.0003396127],"domain_scores_gemma":[0.9955252,0.0001322079,0.003403462,0.0002906556,0.0005065912,0.0001418788],"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":[0.0003693387,0.0003941177,0.0008518177,0.01086404,0.001245804,0.000005173849,0.0001255693,0.0004488041,0.03524202,0.00004661457,0.0003651779,0.9500415],"study_design_scores_gemma":[0.002901402,0.0003417235,0.0001235583,0.003099008,0.003837142,0.0001285817,0.00004076548,0.003358081,0.02022944,0.00001747033,0.9654686,0.0004542575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04040174,0.9563372,0.001073856,0.000008069954,0.001328498,0.0005836721,0.0002212894,0.00000200148,0.00004370201],"genre_scores_gemma":[0.009738868,0.9874293,0.002151433,0.00005820572,0.0004119302,0.00001145419,0.00008533055,0.00006952932,0.0000439463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9651034,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543894309307596,"score_gpt":0.4387907974574678,"score_spread":0.3833518543643918,"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."}}