{"id":"W4233863417","doi":"10.1515/iupac.85.0698","title":"Reference Ion","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; Standardization; Analytical Chemistry (journal); Computer science; Chromatography; European union; Business; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195364,0.001832171,0.001853047,0.008016884,0.001350911,0.005334967,0.002727974,0.001842402,0.2731636],"category_scores_gemma":[0.0194458,0.0006459623,0.001882293,0.01448262,0.0005210973,0.00477114,0.002553921,0.002357247,0.3772471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025214,"about_ca_system_score_gemma":0.005057623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01815116,"about_ca_topic_score_gemma":0.02286921,"domain_scores_codex":[0.9955006,0.0005860073,0.0007513511,0.001321287,0.001478148,0.0003625368],"domain_scores_gemma":[0.9909658,0.001980174,0.0007980959,0.001907128,0.003904517,0.0004442326],"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":[0.00003558407,0.00000758027,0.0003935488,0.000668509,0.00001738217,0.00001288142,0.00001418855,0.00007686717,0.00006810678,0.000830893,0.9911672,0.006707199],"study_design_scores_gemma":[0.00002791902,0.000004395531,0.0008354652,0.0003254498,0.00001182517,0.00002411335,0.0000337843,0.00005255384,0.0001040857,0.001021867,0.9975471,0.00001148715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006957473,0.0002666576,0.0002399739,0.0002172338,0.0001258302,0.0000272686,0.9934901,0.0005600246,0.005003286],"genre_scores_gemma":[0.0002658956,0.0003582487,0.000549529,0.0002074295,0.00003372961,0.00008363067,0.9947115,0.0002054929,0.003584559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2731636,"threshold_uncertainty_score":0.9138232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854155734485067,"score_gpt":0.3994258866448749,"score_spread":0.3808843293000242,"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."}}