{"id":"W4250748226","doi":"10.1515/iupac.85.0508","title":"Ion Gate","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; Accelerator mass spectrometry; Tandem mass spectrometry; Standardization; Analytical Chemistry (journal); Computer science; Environmental chemistry; 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":[0.00146711,0.002070187,0.001778543,0.004353678,0.001229578,0.005367398,0.003364266,0.001610055,0.1537105],"category_scores_gemma":[0.009623326,0.0006401031,0.001677161,0.008953338,0.0004245233,0.004211925,0.002970857,0.002090595,0.316769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885516,"about_ca_system_score_gemma":0.003443375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710113,"about_ca_topic_score_gemma":0.02745484,"domain_scores_codex":[0.9977142,0.0003704812,0.0002787065,0.0006544132,0.0007027038,0.0002796096],"domain_scores_gemma":[0.9962812,0.0007537416,0.0003636471,0.001150014,0.00116117,0.0002902612],"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":[0.00007609552,0.000009831018,0.0004560924,0.0004814673,0.0000202154,0.00001265343,0.0000162355,0.0001270407,0.00007215793,0.0009256942,0.9926858,0.005116701],"study_design_scores_gemma":[0.00004966844,0.000007295022,0.0008786856,0.0001856835,0.000011557,0.00002407939,0.00003346755,0.0001234402,0.0001459973,0.00126483,0.9972632,0.00001209893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007857916,0.000178376,0.0001681195,0.0001514085,0.00005423614,0.00001555393,0.9945055,0.00127772,0.003570559],"genre_scores_gemma":[0.00027711,0.0002397479,0.0003721208,0.0001396029,0.00001303726,0.00004607551,0.9966967,0.0002506966,0.00196483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1537105,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182430616752056,"score_gpt":0.3856890784738472,"score_spread":0.3738647723063266,"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."}}