{"id":"W4253911203","doi":"10.1515/iupac.79.1437","title":"Hypervitaminosis","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; Terminology; 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":[0.0001170816,0.0002931951,0.0002858135,0.00001750207,0.00004831922,0.00001922515,0.0004364861,0.0002763076,0.03631293],"category_scores_gemma":[0.0001555206,0.0002274565,0.0001147606,0.0001101704,0.0001276139,0.00006029296,0.0003419265,0.0002974384,0.00002407224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069833,"about_ca_system_score_gemma":0.00003028634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006109192,"about_ca_topic_score_gemma":0.00004533221,"domain_scores_codex":[0.9983593,0.000008558952,0.0002288278,0.0004017671,0.0006714417,0.0003300688],"domain_scores_gemma":[0.9991438,0.00004332805,0.00007397649,0.0005500118,0.00001437961,0.0001745257],"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":[0.00001119008,0.00006800934,0.00001291886,0.00004987936,0.00001623196,0.0000210092,0.00000173679,0.00001189371,0.002323253,1.783882e-7,0.9953417,0.002141979],"study_design_scores_gemma":[0.0002419833,0.00001984175,0.00001998521,0.0001001771,0.00003635057,0.00001031343,0.000002487999,0.000006649139,0.002920488,0.0000296193,0.9962839,0.0003281605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008710018,0.0000814841,0.00003988196,0.0001811023,0.0001753165,0.00006243016,0.9980497,0.00005293864,0.0004861141],"genre_scores_gemma":[0.0001759122,0.0002211272,0.00004019066,0.0001424357,0.0003709534,0.000008647027,0.9983593,0.00002160412,0.0006598894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03628885,"threshold_uncertainty_score":0.964568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006481212079697936,"score_gpt":0.3156291444088014,"score_spread":0.3091479323291034,"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."}}