{"id":"W4244987844","doi":"10.5194/amt-2019-296","title":"Validation of MAX-DOAS retrievals of aerosol extinction, SO <sub>2</sub> and NO <sub>2</sub> through comparison with lidar, sun photometer, Active-DOAS and aircraft measurements in the Athabasca Oil Sands Region","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; York University; University of British Columbia; Public Health Ontario; University of Toronto; Environment and Climate Change Canada","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Differential optical absorption spectroscopy; Aerosol; Environmental science; Sun photometer; Lidar; AERONET; Daytime; Atmospheric sciences; Planetary boundary layer; Extinction (optical mineralogy); Photometer; Meteorology; Remote sensing; Absorption (acoustics); Chemistry; Mineralogy; Geology; Materials science; Geography; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007007432,0.0005386339,0.0002669127,0.0006398381,0.00058285,0.00069694,0.0007273777,0.0002705604,0.000394488],"category_scores_gemma":[0.0006930903,0.0002215163,0.0002355853,0.0006466629,0.0002687835,0.0005586037,0.000288974,0.0002099724,0.0001679159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958858,"about_ca_system_score_gemma":0.001493779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3499821,"about_ca_topic_score_gemma":0.4501858,"domain_scores_codex":[0.9996488,0.00003085273,0.00001934307,0.0000865761,0.0001643908,0.00005012762],"domain_scores_gemma":[0.999656,0.00004037819,0.00004500519,0.00003014509,0.0001947257,0.00003372694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000944351,0.0003488713,0.7543891,0.0001880677,0.0002024078,0.0002578984,0.00067408,0.02776962,0.1551559,0.0005189933,0.001652334,0.05789833],"study_design_scores_gemma":[0.00007309156,0.00008624694,0.882361,0.00002422319,0.00005970864,0.00007406466,0.0006328112,0.08301539,0.03149904,0.0001453422,0.001986855,0.0000422657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964294,0.00008058616,0.001065728,0.00003528666,0.000009204392,0.00001430092,0.0009404551,0.0001323347,0.001292895],"genre_scores_gemma":[0.996403,0.00003298604,0.002183074,0.00001738037,0.000003645159,0.000008109861,0.001061644,0.000009954335,0.0002802447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650018,"threshold_uncertainty_score":0.6958898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277869958872663,"score_gpt":0.2359192911417625,"score_spread":0.2131405915530358,"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."}}