{"id":"W2096483616","doi":"10.5194/amt-3-1055-2010","title":"Formaldehyde measurements by Proton transfer reaction – Mass Spectrometry (PTR-MS): correction for humidity effects","year":2010,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Innsbruck; Canadian Foundation for Climate and Atmospheric Sciences; Montana State University","keywords":"Formaldehyde; Humidity; Water vapor; Chemistry; Relative humidity; Mass spectrometry; Proton; Analytical Chemistry (journal); Environmental science; Environmental chemistry; Meteorology; Chromatography; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001507918,0.0004312434,0.0003835,0.000004724924,0.0004141719,0.0001088329,0.0003535895,0.0003160686,0.000717728],"category_scores_gemma":[0.0002152632,0.0003883945,0.0002012316,0.0003796342,0.00009497938,0.0005194704,0.000008135696,0.0005013277,0.00002489929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007896996,"about_ca_system_score_gemma":0.00009565934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006552316,"about_ca_topic_score_gemma":0.0003199699,"domain_scores_codex":[0.9971257,0.00008107469,0.0004813746,0.0006303096,0.001037517,0.0006440597],"domain_scores_gemma":[0.9988288,0.00008840227,0.0001642383,0.0004321153,0.0002606853,0.0002257247],"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":[0.0001836475,0.0001195296,0.02709248,0.0002144974,0.00006573735,0.000001570776,0.00003158678,0.000007137316,0.9204485,0.000003586108,0.007116384,0.04471528],"study_design_scores_gemma":[0.0005491537,0.000588526,0.007243457,0.00007570942,0.00007696272,0.00001299289,0.00002186484,0.0007144947,0.9585885,0.00029657,0.03133023,0.0005014861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6233969,0.0004288343,0.3460148,0.0002271138,0.0028241,0.007228179,0.00005054032,0.001715439,0.01811401],"genre_scores_gemma":[0.9488439,0.00006097576,0.04960477,0.0001655567,0.0004058665,0.0003796227,0.0001282079,0.00002723509,0.0003838616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.325447,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841836375643714,"score_gpt":0.223536507123789,"score_spread":0.2051181433673519,"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."}}