{"id":"W4253709709","doi":"10.1515/iupac.85.0791","title":"Wien Filter","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":"Terminology; Chemical nomenclature; Mass spectrometry; Chemistry; Analytical Chemistry (journal); Chromatography; 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":[0.00162319,0.002092985,0.001860494,0.005386154,0.001047117,0.004662117,0.002871425,0.001959848,0.1908246],"category_scores_gemma":[0.01185518,0.0007344511,0.002010283,0.007922407,0.0004398167,0.003517896,0.002914986,0.001878527,0.3419456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947162,"about_ca_system_score_gemma":0.00322348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653406,"about_ca_topic_score_gemma":0.02846646,"domain_scores_codex":[0.9975108,0.0004073788,0.000368136,0.0007780725,0.0006475594,0.0002879626],"domain_scores_gemma":[0.9962596,0.0009210532,0.0003799446,0.001160064,0.001052292,0.0002271795],"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":[0.00007637826,0.00001135236,0.0005176641,0.0006843018,0.00002684668,0.00001483889,0.00002184046,0.0001462776,0.00007638001,0.0008946269,0.9918663,0.005663142],"study_design_scores_gemma":[0.00005640069,0.000007504359,0.001072977,0.0002697622,0.00001392493,0.00002566901,0.00004927709,0.0001606776,0.0001908724,0.001629742,0.9965085,0.00001460675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006561606,0.0001249854,0.0001774227,0.00009995011,0.00004301848,0.0000159157,0.9963228,0.001191616,0.001958728],"genre_scores_gemma":[0.0002916173,0.0001677994,0.000515155,0.00009306873,0.00001239527,0.00008171129,0.9966934,0.000302623,0.001842244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1908246,"threshold_uncertainty_score":0.6383719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304468734508756,"score_gpt":0.3856825433423395,"score_spread":0.3726378559972519,"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."}}