{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141911,0.001717887,0.001528236,0.004584928,0.0009982294,0.002955684,0.002240404,0.001493839,0.1185337],"category_scores_gemma":[0.01035582,0.000535957,0.00197026,0.007802123,0.0004007511,0.002736199,0.002262704,0.001514615,0.1348731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340733,"about_ca_system_score_gemma":0.002614864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01673124,"about_ca_topic_score_gemma":0.03462641,"domain_scores_codex":[0.9979599,0.0003415674,0.000430351,0.0005842437,0.0004391617,0.0002449579],"domain_scores_gemma":[0.9952266,0.001194933,0.0006874574,0.001283695,0.001332463,0.000274859],"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":[0.0001506537,0.00002219588,0.002268158,0.00143084,0.00005155428,0.00004032604,0.00003113692,0.0001628731,0.00009574361,0.0008300432,0.9843134,0.01060319],"study_design_scores_gemma":[0.00008886019,0.0000123389,0.003890947,0.0005742848,0.00003278406,0.00008869129,0.00007034503,0.0001284836,0.0001552289,0.000886597,0.9940518,0.00001969842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000210488,0.0003134449,0.00009500709,0.00009087635,0.00005481713,0.00001947368,0.996769,0.0002216546,0.002225245],"genre_scores_gemma":[0.0005867992,0.0003012755,0.0002887163,0.00014953,0.0000186751,0.00007702609,0.9968118,0.00007129301,0.001694837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1185337,"threshold_uncertainty_score":0.3965347,"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."}}