{"id":"W3161948910","doi":"10.5194/amt-14-6039-2021","title":"Development of a laser-photofragmentation laser-induced fluorescence instrument for the detection of nitrous acid and hydroxyl radicals in the atmosphere","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Geosciences; University of Toronto; Colorado State University; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Radical; Chemistry; Dissociation (chemistry); Nitrous acid; Laser-induced fluorescence; Detection limit; Nitrous oxide; Hydroxyl radical; Laser; Analytical Chemistry (journal); Fluorescence; Photodissociation; Photochemistry; Nitrogen dioxide; Environmental chemistry; Inorganic chemistry; Chromatography; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743234,0.0005921972,0.000674373,0.00108629,0.0005647431,0.0003978509,0.001366646,0.001586207,0.001066225],"category_scores_gemma":[0.001122999,0.0005221965,0.0005173461,0.0004758677,0.0003960734,0.0006870349,0.000610245,0.00112822,0.0006480421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613011,"about_ca_system_score_gemma":0.0008220808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009756367,"about_ca_topic_score_gemma":0.002391841,"domain_scores_codex":[0.9987489,0.000228808,0.00004653861,0.0003300644,0.0005598811,0.00008572309],"domain_scores_gemma":[0.9991519,0.000299997,0.0001152249,0.00008986857,0.000250886,0.000092168],"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":[0.00004906431,0.00005293483,0.001083272,0.00005358462,0.0000140387,0.00002336491,0.0000236523,0.0001273474,0.9921347,0.0001023139,0.0001293559,0.006206254],"study_design_scores_gemma":[0.0000422885,0.0004435338,0.005636921,0.00001948571,0.00003982355,0.0003419169,0.00002795011,0.00859389,0.9795535,0.00007979966,0.005179557,0.00004140552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4312988,0.002493932,0.5568657,0.0003825874,0.0002790045,0.00101443,0.001331664,0.003580951,0.002752887],"genre_scores_gemma":[0.2998708,0.0009344731,0.6938825,0.0002682957,0.00005163567,0.001158317,0.0009512214,0.00009534161,0.002787404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001743234,"threshold_uncertainty_score":0.00921917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031397855876553,"score_gpt":0.2316841291623217,"score_spread":0.2002862732857687,"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."}}