{"id":"W4232511232","doi":"10.1515/iupac.85.0319","title":"Ambient Mass Spectrometry","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Accelerator mass spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Environmental chemistry; Chromatography; 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":[0.002480687,0.001892039,0.001573097,0.005109772,0.001034256,0.004218113,0.002474168,0.001569124,0.07830122],"category_scores_gemma":[0.01212978,0.000523963,0.001698517,0.01034999,0.000451855,0.003301084,0.00247912,0.00179051,0.1444807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815386,"about_ca_system_score_gemma":0.00349468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474513,"about_ca_topic_score_gemma":0.0181551,"domain_scores_codex":[0.9958239,0.0005892472,0.0006259746,0.001080969,0.001604795,0.0002752018],"domain_scores_gemma":[0.9944847,0.001065079,0.0006607133,0.001240283,0.002337485,0.0002117078],"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":[0.0001024722,0.00001641948,0.001635989,0.001938609,0.00008107537,0.00002894301,0.00002893783,0.0002047018,0.0003274062,0.001365894,0.9774765,0.01679299],"study_design_scores_gemma":[0.00004303741,0.000007046492,0.002784061,0.0004176468,0.0000310605,0.00004248436,0.00003673497,0.0001116435,0.0004164349,0.001847256,0.9942386,0.0000238685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001355793,0.0004247444,0.0004447638,0.0001450443,0.00007549181,0.00002729591,0.994951,0.0007012321,0.0030949],"genre_scores_gemma":[0.0006429501,0.0007248215,0.001312013,0.0001984936,0.00002908075,0.0001140523,0.9946003,0.0002189963,0.002159321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07830122,"threshold_uncertainty_score":0.2619437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094364800029537,"score_gpt":0.3677264401581036,"score_spread":0.3567827921578083,"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."}}