{"id":"W4238148143","doi":"10.1515/iupac.79.2026","title":"Solvent Abuse","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; CAS Registry Number; Forensic toxicology; Toxicology; Computer science; Chemistry; Philosophy; Biology; Organic chemistry; Linguistics; Chromatography","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":[0.0001356272,0.0002986392,0.0002798571,0.00001652184,0.00004857503,0.00002060095,0.0004274707,0.0002590705,0.03086309],"category_scores_gemma":[0.00009802705,0.0002313333,0.0001233557,0.00009231865,0.0001329582,0.00005819135,0.0002150194,0.0003333003,0.00002387919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986769,"about_ca_system_score_gemma":0.00003371766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004137763,"about_ca_topic_score_gemma":0.00006265796,"domain_scores_codex":[0.9982643,0.000007850884,0.0002537665,0.0004037283,0.0007178565,0.0003524838],"domain_scores_gemma":[0.999092,0.00003404249,0.00008700622,0.0005774844,0.00001405545,0.0001954059],"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":[0.00001914621,0.00008519998,0.000004204021,0.00004829884,0.00001738691,0.00003272945,0.000005049064,0.00003387231,0.003191965,2.055553e-7,0.9958676,0.0006943106],"study_design_scores_gemma":[0.0002962587,0.00002126394,0.000005468756,0.0001315495,0.00003078888,0.00001020939,0.000002850821,0.00001060837,0.003076038,0.00003209807,0.9960566,0.0003262677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009659628,0.00008199411,0.0001065787,0.0001092378,0.0002087852,0.00007611176,0.9981335,0.00005498317,0.0002628581],"genre_scores_gemma":[0.00008623866,0.0003608855,0.00003990751,0.0001149968,0.0004092549,0.000008591427,0.9982525,0.00002255926,0.0007050473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03083921,"threshold_uncertainty_score":0.9700229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005998420838943501,"score_gpt":0.3174146566441005,"score_spread":0.311416235805157,"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."}}