{"id":"W4248299974","doi":"10.1515/iupac.85.0449","title":"Extracted Ion Chromatogram","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; Analytical Chemistry (journal); Chromatography; European union; Organic chemistry; Business","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":[0.00227705,0.002400897,0.001900331,0.007123941,0.0009893733,0.003813315,0.002390773,0.00148471,0.09752],"category_scores_gemma":[0.01242679,0.0006073345,0.002115709,0.008891557,0.0004778388,0.002245529,0.002049747,0.001715483,0.1709157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856463,"about_ca_system_score_gemma":0.004590019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416949,"about_ca_topic_score_gemma":0.01940844,"domain_scores_codex":[0.996962,0.0003558632,0.000572033,0.00100369,0.0008693148,0.0002369947],"domain_scores_gemma":[0.9934443,0.00151638,0.0006193655,0.001462108,0.002723247,0.0002346098],"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":[0.0001739332,0.00002617747,0.001746547,0.001832702,0.0001087084,0.00004843742,0.00002507486,0.0002525587,0.0004621176,0.0005303441,0.9798918,0.01490151],"study_design_scores_gemma":[0.0001284506,0.00002093793,0.005421463,0.0005116082,0.00009247689,0.0001115661,0.00007317645,0.00029344,0.001246424,0.001783438,0.9902683,0.00004879872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001461607,0.0002183205,0.0003785907,0.00008995087,0.00004982898,0.0000372812,0.9967381,0.001032293,0.001309498],"genre_scores_gemma":[0.0006697604,0.0003520139,0.001634976,0.0001161919,0.0000227149,0.0001637921,0.9953886,0.0002020127,0.001449769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09752,"threshold_uncertainty_score":0.3262369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146594021017745,"score_gpt":0.3838884404559861,"score_spread":0.3724225002458086,"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."}}