{"id":"W2971631267","doi":"10.5194/amt-13-1129-2020","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":2020,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; University of Toronto; Environment and Climate Change Canada; York University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Differential optical absorption spectroscopy; Aerosol; Environmental science; Lidar; Sun photometer; AERONET; Atmospheric sciences; Photometer; Extinction (optical mineralogy); Planetary boundary layer; Meteorology; Remote sensing; Absorption (acoustics); Chemistry; Mineralogy; Geology; Materials science; 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":[0.0006557535,0.0005552237,0.000261735,0.0006247483,0.0006178092,0.0006775134,0.0007588053,0.0002853429,0.000398866],"category_scores_gemma":[0.0006590387,0.0002237459,0.0002369317,0.0006442346,0.0002791444,0.0005477964,0.0002993825,0.0002015869,0.0001738504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979595,"about_ca_system_score_gemma":0.001503421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3481017,"about_ca_topic_score_gemma":0.4458942,"domain_scores_codex":[0.9996608,0.00002745773,0.0000181797,0.00008587079,0.0001579496,0.00004968868],"domain_scores_gemma":[0.9996742,0.00003709883,0.00004286255,0.0000297171,0.0001826251,0.00003348763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009624319,0.0003479596,0.7463626,0.0001819356,0.0001953116,0.0002750829,0.0006482509,0.02736679,0.1649592,0.0004890786,0.001605709,0.05660574],"study_design_scores_gemma":[0.00007609259,0.00008853789,0.8735341,0.0000246669,0.00006022572,0.00008333301,0.0006026735,0.0861314,0.03717359,0.0001533246,0.002029016,0.00004285142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964634,0.00007761063,0.001066382,0.00003429218,0.000008891964,0.00001424771,0.000933706,0.0001360197,0.001265554],"genre_scores_gemma":[0.9962755,0.00003394214,0.002280834,0.00001871901,0.000003818818,0.000008268889,0.001074984,0.00001015403,0.0002936611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3481017,"threshold_uncertainty_score":0.692151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279817480029456,"score_gpt":0.2282443652893242,"score_spread":0.2002626172863786,"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."}}