{"id":"W4380537444","doi":"10.1080/02786826.2023.2218462","title":"Reactive nitrogen and total organic carbon calibration techniques for the Aerodyne aerosol mass spectrometer","year":2023,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Science Mission Directorate","keywords":"Chemistry; Aerosol; Reactive nitrogen; Mass spectrometry; Nitrogen; Analytical Chemistry (journal); Ammonium nitrate; Carbon fibers; Calibration; Environmental chemistry; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004413733,0.001684201,0.0007867841,0.00272478,0.001212937,0.0008106774,0.002144121,0.001388839,0.006116276],"category_scores_gemma":[0.005151029,0.0008713399,0.001085293,0.001629055,0.0006369116,0.001319955,0.001329475,0.002125855,0.005109682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053177,"about_ca_system_score_gemma":0.001881725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712985,"about_ca_topic_score_gemma":0.005273509,"domain_scores_codex":[0.9910076,0.0009762516,0.0003501522,0.001562485,0.005915668,0.0001877824],"domain_scores_gemma":[0.9968693,0.0003803059,0.0004220955,0.0006257406,0.001629229,0.00007332836],"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":[0.0002305579,0.0002196596,0.004607252,0.0004776564,0.0001841988,0.0001625831,0.0001828841,0.002216579,0.9088882,0.005871984,0.006234944,0.07072351],"study_design_scores_gemma":[0.00009182426,0.0003669751,0.009762922,0.0001271017,0.0001120423,0.001123886,0.00009954538,0.02430488,0.8560376,0.002196377,0.1056382,0.0001386957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04988657,0.003275211,0.9127225,0.0003392301,0.001032421,0.001460892,0.003569534,0.006245578,0.02146798],"genre_scores_gemma":[0.1127063,0.002496812,0.8552424,0.0008704025,0.0002287324,0.00347065,0.005029184,0.001469948,0.01848557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006116276,"threshold_uncertainty_score":0.02334237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008759935074789456,"score_gpt":0.213141909146518,"score_spread":0.2043819740717286,"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."}}