{"id":"W4251976422","doi":"10.5194/amt-2019-157","title":"Intercomparison of NO <sub>2</sub> , O <sub>4</sub> , O <sub>3</sub> and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Canadian Space Agency; University of Toronto; Universität für Bodenkultur Wien; Austrian Science Fund","keywords":"Nitrogen dioxide; Differential optical absorption spectroscopy; Environmental science; Ozone; Zenith; Chemistry; Meteorology; Remote sensing; Absorption (acoustics); Physics; Optics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555727,0.0008784399,0.0005526782,0.0008267286,0.0007070687,0.001057631,0.0009122651,0.0007933971,0.0005911283],"category_scores_gemma":[0.001498653,0.0003420202,0.0005556663,0.001092539,0.0003801233,0.0007015925,0.001156679,0.0005499675,0.0002490406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758975,"about_ca_system_score_gemma":0.001823418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05295825,"about_ca_topic_score_gemma":0.09389974,"domain_scores_codex":[0.9986832,0.0002048981,0.00006832883,0.0005209519,0.0003744859,0.0001480816],"domain_scores_gemma":[0.9989814,0.0001765916,0.0001361494,0.0001646387,0.0004061883,0.0001350197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005181761,0.001152662,0.6011952,0.0005353403,0.001506689,0.0005469599,0.002297941,0.02808941,0.2710724,0.001152817,0.006555581,0.08071321],"study_design_scores_gemma":[0.0003088693,0.0003739515,0.9184017,0.00003444824,0.0002139014,0.00007390042,0.0004466297,0.023643,0.04653966,0.0003560323,0.009522237,0.00008567149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884615,0.0004131268,0.004409794,0.0001089697,0.0001488022,0.0001190633,0.0030736,0.0002006578,0.003064458],"genre_scores_gemma":[0.9761937,0.0001321392,0.01291135,0.0001259026,0.00003205466,0.0001345767,0.009152141,0.00007714862,0.001241026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05295825,"threshold_uncertainty_score":0.1053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500115832244327,"score_gpt":0.2047512621981895,"score_spread":0.1897501038757462,"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."}}