{"id":"W4250143760","doi":"10.1515/iupac.85.0674","title":"Profile Mode","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; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; 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":[0.001270573,0.001761206,0.001394063,0.00389057,0.0008957578,0.00409694,0.002521343,0.001583515,0.2756024],"category_scores_gemma":[0.009986653,0.0006317951,0.001493714,0.007224066,0.0003374678,0.004210867,0.002662318,0.00168314,0.4279569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174376,"about_ca_system_score_gemma":0.002817261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821495,"about_ca_topic_score_gemma":0.02707618,"domain_scores_codex":[0.9982419,0.0002628981,0.0002474848,0.0005444166,0.0004841023,0.0002191835],"domain_scores_gemma":[0.9956405,0.0009223623,0.0004386838,0.001211057,0.001487029,0.0003003613],"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":[0.00005183152,0.000008360597,0.0003901038,0.0004680924,0.00001316411,0.000009086886,0.00001366382,0.00007139814,0.0000638299,0.0004920959,0.9941148,0.004303599],"study_design_scores_gemma":[0.00004128145,0.000006155469,0.001076954,0.000199564,0.000008334928,0.00002057725,0.00003802097,0.00008214402,0.0001323845,0.0008870957,0.9974943,0.00001308977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004102131,0.00006790538,0.0001084206,0.00008015888,0.00002880111,0.00001340435,0.9967605,0.0007707584,0.002129013],"genre_scores_gemma":[0.0002199513,0.0001308755,0.0003367773,0.000126729,0.00001316516,0.00005478468,0.996559,0.0002532392,0.002305522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2756024,"threshold_uncertainty_score":0.921982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171700475151415,"score_gpt":0.3974980171360847,"score_spread":0.3857810123845706,"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."}}