{"id":"W4251119155","doi":"10.1515/iupac.85.0759","title":"Tandem Mass Spectrometer","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; Tandem mass spectrometry; 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":[0.00267399,0.002077221,0.002047639,0.005073192,0.001406199,0.004260447,0.003600443,0.001788595,0.088051],"category_scores_gemma":[0.009288422,0.0006412939,0.001571743,0.008805597,0.0004481238,0.003425174,0.00243619,0.002205058,0.1976659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751664,"about_ca_system_score_gemma":0.003528924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009291191,"about_ca_topic_score_gemma":0.01344856,"domain_scores_codex":[0.9966852,0.0004538722,0.0004946153,0.001023833,0.001089362,0.0002530593],"domain_scores_gemma":[0.9961433,0.0006543425,0.0005283022,0.0008222176,0.001690938,0.0001608725],"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":[0.0002074989,0.00002773098,0.001185957,0.001524394,0.0001027426,0.00004552625,0.00003167705,0.0002146026,0.000709002,0.001109196,0.9780147,0.01682705],"study_design_scores_gemma":[0.00009499942,0.00001706301,0.002574771,0.0003175808,0.00005568051,0.0001025669,0.00004669171,0.0002206525,0.001070818,0.002527354,0.9929345,0.00003732406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002354082,0.0005220354,0.0008743837,0.0001960834,0.00007856678,0.00005027502,0.9928318,0.001656425,0.003554977],"genre_scores_gemma":[0.0006568283,0.0006959294,0.002444268,0.0002809614,0.00003400279,0.000182954,0.9926765,0.0003419412,0.002686632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.088051,"threshold_uncertainty_score":0.2945599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218818049062537,"score_gpt":0.3724052608168429,"score_spread":0.3602170803262175,"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."}}