{"id":"W4231839001","doi":"10.1515/iupac.79.1404","title":"Histamine","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; Toxicology; Computer science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001627318,0.001727132,0.001423033,0.003333867,0.0009566913,0.003305272,0.002757342,0.001881363,0.1717181],"category_scores_gemma":[0.01382601,0.0005186976,0.001774838,0.005163431,0.0003447258,0.002360166,0.001895013,0.001739468,0.2142533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626732,"about_ca_system_score_gemma":0.003019123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586557,"about_ca_topic_score_gemma":0.03048123,"domain_scores_codex":[0.9974775,0.0004220564,0.0003924064,0.000940713,0.000496608,0.0002708331],"domain_scores_gemma":[0.9951218,0.001231705,0.0004614869,0.001254116,0.00159554,0.0003354016],"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":[0.0001276386,0.00002125816,0.001550741,0.0007395538,0.00003996513,0.00001861068,0.00001708152,0.0001443922,0.00006724498,0.0005881094,0.9899176,0.006767865],"study_design_scores_gemma":[0.0002056509,0.00002357641,0.003794243,0.000532336,0.00004579905,0.00007477256,0.00007977698,0.000254909,0.0001962404,0.001619113,0.9931477,0.0000259037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000132834,0.00011476,0.0001034667,0.0001058694,0.00004661469,0.00002779583,0.9974883,0.0002697606,0.00171058],"genre_scores_gemma":[0.0004138839,0.00009029957,0.0003291647,0.0001599017,0.00001536552,0.000126917,0.9972906,0.00006715743,0.001506649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1717181,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005381123325293649,"score_gpt":0.3169271016892576,"score_spread":0.3115459783639639,"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."}}