{"id":"W2136745982","doi":"10.1002/jms.3550","title":"Commercial formaldehyde standard for mass calibration in mass spectrometry","year":2015,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"","keywords":"Chemistry; Mass spectrometry; Electrospray ionization; Analytical Chemistry (journal); Calibration; Mass; Formaldehyde; Tandem mass spectrometry; Electrospray; Selected reaction monitoring; Mass spectrum; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001534957,0.0004331788,0.0009417298,0.00128898,0.0001239244,0.0001879923,0.0008402666,0.0003681078,0.001908879],"category_scores_gemma":[0.0004169239,0.0004145189,0.0004498288,0.001488723,0.00009082632,0.0006525677,0.00006421322,0.001042879,0.000008417474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458722,"about_ca_system_score_gemma":0.0003826521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980521,"about_ca_topic_score_gemma":0.00001683539,"domain_scores_codex":[0.9961947,0.00005981845,0.001472423,0.000405112,0.001050408,0.000817606],"domain_scores_gemma":[0.9972324,0.0002698235,0.001065593,0.0005713663,0.000392692,0.0004681094],"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":[0.002078497,0.0006632438,0.04443576,0.0003761754,0.0003258601,0.0001620386,0.000233175,0.0001951957,0.8775715,0.04804353,0.0237757,0.002139291],"study_design_scores_gemma":[0.009221301,0.002398244,0.00198334,0.000270862,0.0002652077,0.0003557514,0.001379671,0.001995012,0.707903,0.2331613,0.03969374,0.001372558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2301964,0.001074946,0.7042961,0.004884833,0.0006315479,0.0006955032,0.0003576844,0.0002656494,0.05759737],"genre_scores_gemma":[0.7438444,0.0001569479,0.2540309,0.0001164924,0.001161794,0.00004501376,0.00003991189,0.00007913645,0.0005253184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.513648,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457767407710379,"score_gpt":0.2921450250234618,"score_spread":0.267567350946358,"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."}}