{"id":"W2793677293","doi":"10.3390/mps1010009","title":"Method for the Routine Determination of Accurate Masses by Triple Quadrupole Mass Spectrometry","year":2018,"lang":"en","type":"article","venue":"Methods and Protocols","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Triple quadrupole mass spectrometer; Quadrupole; Calibration; Analytical Chemistry (journal); Chemistry; Mass spectrum; Resolution (logic); Spectrometer; Hybrid mass spectrometer; Context (archaeology); Selected reaction monitoring; Physics; Optics; Computer science; Tandem mass spectrometry; Chromatography; Atomic physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001741568,0.0001549066,0.0002680763,0.0000566589,0.0002001144,0.00006301635,0.0002768145,0.0001111013,0.00122102],"category_scores_gemma":[0.0002209371,0.0001083404,0.00008933755,0.0002939357,0.0001033955,0.00006360777,0.0000548337,0.0001218515,6.864078e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002517457,"about_ca_system_score_gemma":0.00002363134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000365549,"about_ca_topic_score_gemma":0.000002361614,"domain_scores_codex":[0.9989016,0.000112212,0.0003554151,0.0002881866,0.0001210827,0.0002214759],"domain_scores_gemma":[0.9982056,0.0009246317,0.0002842246,0.0004158647,0.0001193287,0.00005036528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007341371,0.00005689598,0.0002783184,0.0002060887,0.00002272448,7.428849e-8,0.00004837598,6.942536e-8,0.8127888,0.01038819,0.001079942,0.1750571],"study_design_scores_gemma":[0.000367825,0.0001582854,0.00004543666,0.00002540646,0.00002889017,0.00000289755,0.00005418255,0.006086514,0.7923617,0.0233856,0.1773667,0.0001164436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001153135,0.00006179096,0.9787234,0.0004316605,0.00001127245,0.01389861,0.00009331645,0.00006657017,0.006598073],"genre_scores_gemma":[0.002450792,0.00001236016,0.9209407,0.00004763827,0.0001442806,0.07480758,0.00001017353,0.00002204249,0.001564418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1762868,"threshold_uncertainty_score":0.999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519619824143899,"score_gpt":0.4557037711525938,"score_spread":0.4105075729111548,"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."}}