{"id":"W4237687265","doi":"10.1515/iupac.85.0589","title":"Mass Spectrum","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; Standardization; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Linguistics; 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":[0.001297136,0.002004956,0.00150249,0.005900809,0.001103599,0.003835548,0.00296669,0.001696787,0.1227641],"category_scores_gemma":[0.007679997,0.000535187,0.001538113,0.008934357,0.000374734,0.003447034,0.00265076,0.001876147,0.275069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898808,"about_ca_system_score_gemma":0.002860118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443701,"about_ca_topic_score_gemma":0.02038697,"domain_scores_codex":[0.9978605,0.0002492096,0.0002872836,0.00059006,0.0007897381,0.0002232773],"domain_scores_gemma":[0.9966718,0.0005365468,0.0003589265,0.0008379065,0.001398656,0.0001961147],"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":[0.00008451389,0.00001219211,0.0006729045,0.0007595248,0.00003125544,0.0000221755,0.00002069061,0.000134175,0.0001955648,0.0009845478,0.9885126,0.008569777],"study_design_scores_gemma":[0.00003578439,0.000006335408,0.001529159,0.0002162482,0.00001392544,0.00003959355,0.000035434,0.0001176646,0.0002587486,0.001305817,0.9964266,0.000014641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009783886,0.0002282366,0.000225506,0.0001316084,0.00004893574,0.00001585981,0.9953641,0.001093809,0.002794181],"genre_scores_gemma":[0.0003185945,0.0002897225,0.0006001362,0.0001217378,0.00001506205,0.00004827107,0.9965372,0.0002010876,0.001868159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1227641,"threshold_uncertainty_score":0.410687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051668628280736,"score_gpt":0.3724074069955861,"score_spread":0.3618907207127787,"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."}}