{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009668094,0.0004738439,0.0006314411,0.000005940401,0.0001945091,0.00005183028,0.00034918,0.0001950442,0.00002714208],"category_scores_gemma":[0.000107605,0.000375057,0.00009308681,0.0007101978,0.0006955785,0.0005563723,0.000227686,0.0003179531,0.000005175458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830446,"about_ca_system_score_gemma":0.0000359664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004140615,"about_ca_topic_score_gemma":0.00008180855,"domain_scores_codex":[0.9961112,0.0003140582,0.0007997231,0.0007356981,0.001629088,0.0004102368],"domain_scores_gemma":[0.9985825,0.000063653,0.0006905448,0.0004485722,0.00008278806,0.0001319218],"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":[0.000680899,0.0004771331,0.1811521,0.0001783152,0.000106011,0.000005012914,0.002883748,0.0004660486,0.7682766,0.00000394772,0.0004953105,0.04527479],"study_design_scores_gemma":[0.001046814,0.001331745,0.02839799,0.0002239108,0.0001529464,0.00001694932,0.0007491542,0.0008677163,0.9662346,0.00005963441,0.0004587718,0.0004597414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730909,0.0003299636,0.02435969,0.0001814203,0.00003779712,0.0008784835,0.000004020258,0.00009947194,0.001018191],"genre_scores_gemma":[0.9805015,0.001482817,0.01747019,0.0003182754,0.00002770958,0.0001321016,0.000009919299,0.0000518119,0.000005670962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.197958,"threshold_uncertainty_score":0.9998701,"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."}}