{"id":"W2991425876","doi":"10.5194/amt-13-1427-2020","title":"The 2018 fire season in North America as seen by TROPOMI: aerosol layer height intercomparisons and evaluation of model-derived plume heights","year":2020,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Plume; Environmental science; Spectroradiometer; Lidar; Atmospheric sciences; Altitude (triangle); Meteorology; Remote sensing; Troposphere; Air quality index; Satellite; Panache; Geology; Geography; Reflectivity; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009862887,0.0008653739,0.0005400935,0.0007207714,0.0005382329,0.0008464766,0.0007151592,0.0005903792,0.0004551443],"category_scores_gemma":[0.001022829,0.0003044768,0.0008246208,0.0009629797,0.0001996237,0.0009243063,0.0004024774,0.000490955,0.000139992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089423,"about_ca_system_score_gemma":0.0008568632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027192,"about_ca_topic_score_gemma":0.1057665,"domain_scores_codex":[0.9997647,0.0000359377,0.00002026853,0.00007865696,0.00006548779,0.00003503708],"domain_scores_gemma":[0.9995537,0.00007174128,0.00008016471,0.00007476778,0.0001598364,0.00005980053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001647333,0.0009113936,0.6133499,0.0002144099,0.000800957,0.0007895642,0.0007082394,0.2837894,0.03976036,0.0004281192,0.003788981,0.05381148],"study_design_scores_gemma":[0.0002157781,0.0002817937,0.4382976,0.00004111327,0.0001796431,0.0001269133,0.0005079395,0.5460522,0.01217955,0.0001487861,0.001888069,0.00008070064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966235,0.0001285377,0.0007984514,0.00005022332,0.00002560688,0.00002292179,0.001383889,0.0002927851,0.0006739341],"genre_scores_gemma":[0.9922141,0.00007906206,0.004240293,0.00002716603,0.00001050128,0.00002629557,0.003186691,0.00004470126,0.000171147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027192,"threshold_uncertainty_score":0.2042426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984130164782797,"score_gpt":0.2557300903228179,"score_spread":0.21588878867499,"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."}}