{"id":"W4250044378","doi":"10.1515/iupac.79.1789","title":"Pharmacokinetics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001120542,0.0002856881,0.0002491298,0.00001555079,0.000039198,0.00001735987,0.0004167121,0.0002172769,0.04831194],"category_scores_gemma":[0.0001156365,0.0002253103,0.00009452899,0.0001033362,0.0001345505,0.00004434488,0.0003175729,0.0003458269,0.00001829958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004087732,"about_ca_system_score_gemma":0.00003083313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002271763,"about_ca_topic_score_gemma":0.00001504036,"domain_scores_codex":[0.9984062,0.000008198063,0.0002319815,0.0003589183,0.0006719399,0.0003227792],"domain_scores_gemma":[0.9992543,0.00003496781,0.00007842378,0.0004354647,0.00001531299,0.0001815207],"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":[0.00001708621,0.00006375727,0.000003598287,0.00004787106,0.00001693658,0.00002774841,0.000001493241,0.00004206358,0.005316714,1.414879e-7,0.9926057,0.001856899],"study_design_scores_gemma":[0.0003491359,0.0000170128,0.000003865854,0.00007596891,0.00004363436,0.00001047138,0.000001174113,0.00002089642,0.006304341,0.00002887158,0.9928271,0.0003174845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003178399,0.00008652547,0.00009033524,0.0001667932,0.0002396287,0.00006759358,0.9984649,0.00005245652,0.000513955],"genre_scores_gemma":[0.00008915584,0.0003648435,0.00004176747,0.0001614492,0.0005365597,0.000005864524,0.9980166,0.00002244379,0.0007613225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04829364,"threshold_uncertainty_score":0.952558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006726700393038252,"score_gpt":0.3428219678364648,"score_spread":0.3360952674434266,"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."}}