{"id":"W3006523556","doi":"10.1080/10962247.2020.1728424","title":"Comparisons of forward-in-time and backward-in-time Lagrangian stochastic dispersion models for micro-scale atmospheric dispersion","year":2020,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dispersion (optics); Wind speed; Atmospheric dispersion modeling; Stochastic modelling; Correlation coefficient; Scale (ratio); Atmosphere (unit); Mathematics; Steady state (chemistry); Mechanics; Statistics; Meteorology; Environmental science; Statistical physics; Physics; Chemistry; Air pollution; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001117497,0.0008222453,0.0007288283,0.0008538348,0.0004774866,0.0007293445,0.001154399,0.0009340859,0.0008764126],"category_scores_gemma":[0.001902016,0.000387006,0.00132942,0.0006407656,0.0003628897,0.001104759,0.0006987892,0.0007301021,0.000202179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308151,"about_ca_system_score_gemma":0.001718316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04472712,"about_ca_topic_score_gemma":0.01754978,"domain_scores_codex":[0.999589,0.00009748089,0.00003841334,0.00006916571,0.0001416918,0.0000642623],"domain_scores_gemma":[0.9988859,0.000503147,0.0001205183,0.00007548547,0.0003348847,0.00008008908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005248401,0.00004569031,0.002532763,0.00002158453,0.00002739188,0.00002357111,0.00002201487,0.9904326,0.000638537,0.001038603,0.0001942084,0.004970572],"study_design_scores_gemma":[0.000005628018,0.00001111676,0.0002482321,0.000001600926,0.000003382995,0.000002324783,0.000003753579,0.9993938,0.0001354109,0.0001189596,0.00007140178,0.000004414724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7753374,0.0008723834,0.2105072,0.0007990281,0.0002037683,0.0001244944,0.0006823931,0.0009922424,0.01048105],"genre_scores_gemma":[0.9811112,0.0002736739,0.01612738,0.00005031352,0.0000268583,0.00007272935,0.0005584676,0.00007802229,0.001701243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04472712,"threshold_uncertainty_score":0.08893353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00671901089959999,"score_gpt":0.1952312807280767,"score_spread":0.1885122698284767,"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."}}