{"id":"W4240589844","doi":"10.1515/iupac.85.0541","title":"Jet Separator","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; European commission; Analytical Chemistry (journal); Chromatography; European union; Business; 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":[0.001992506,0.001802052,0.001775195,0.004422384,0.00116246,0.004304613,0.00270934,0.001418192,0.1210482],"category_scores_gemma":[0.0103889,0.0006738802,0.001803499,0.0081995,0.0003844894,0.002915015,0.002091951,0.001826059,0.2249867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711819,"about_ca_system_score_gemma":0.003695125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286036,"about_ca_topic_score_gemma":0.01812303,"domain_scores_codex":[0.9972283,0.0003739618,0.0004194565,0.0008154809,0.0009295619,0.0002333572],"domain_scores_gemma":[0.9949853,0.001213651,0.0006575845,0.001156423,0.001754986,0.0002320175],"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":[0.0001594112,0.00002612522,0.001128897,0.001371864,0.00004411337,0.00002038433,0.00002238753,0.0002062142,0.0002660225,0.0007586884,0.9806743,0.0153217],"study_design_scores_gemma":[0.00007721529,0.00001367734,0.002308427,0.0003218362,0.00002896018,0.00004102563,0.00004023914,0.0001990712,0.0005692424,0.001061216,0.9953171,0.00002199264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001974131,0.0003146576,0.0004067671,0.0001169017,0.00007228681,0.0000404217,0.9947016,0.001365511,0.002784555],"genre_scores_gemma":[0.0005170868,0.0004336651,0.00117091,0.000131971,0.00002057371,0.0001405423,0.9948213,0.0003378592,0.002426129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1210482,"threshold_uncertainty_score":0.4049464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122066333535427,"score_gpt":0.3986126270095552,"score_spread":0.3864059936560125,"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."}}