{"id":"W2054478691","doi":"10.1007/s10546-006-9125-x","title":"Predicting plume meandering and averaging time effects on mean and fluctuating concentrations in atmospheric dispersion simulated in a water channel","year":2006,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Coanda Research and Development Corporation (Canada); University of Alberta","funders":"","keywords":"Plume; Turbulence; Dispersion (optics); Mechanics; Crosswind; Power law; Centroid; Attenuation; Probability density function; Geology; Meteorology; Environmental science; Optics; Physics; Geometry; Mathematics; Statistics","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":[0.0005279952,0.0005617057,0.0004108883,0.0003081993,0.0006681195,0.0006671129,0.0004852754,0.001031684,0.0004200916],"category_scores_gemma":[0.002211196,0.0004540586,0.0006715801,0.0002966436,0.0004833526,0.0005431929,0.0002820989,0.0007254059,0.00004553501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153596,"about_ca_system_score_gemma":0.001183548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1134202,"about_ca_topic_score_gemma":0.05575916,"domain_scores_codex":[0.9998779,0.00002795446,0.000008346674,0.0000289509,0.00001560801,0.00004122746],"domain_scores_gemma":[0.9978988,0.001563804,0.0001217684,0.00006489742,0.0001892787,0.0001613796],"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":[0.0003185066,0.0001791202,0.02818244,0.00001965678,0.0000480586,0.0000903286,0.00006839533,0.9603572,0.007295101,0.0002796629,0.0001607668,0.003000793],"study_design_scores_gemma":[0.00003441341,0.00006856244,0.007167888,0.00000147236,0.00001602445,0.000006038983,0.00002172475,0.9910775,0.001536379,0.00003735067,0.00002316253,0.000009421346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992324,0.00001583902,0.0004939276,0.00001909871,0.000006581807,0.000003697739,0.00003391374,0.00002769411,0.0001669067],"genre_scores_gemma":[0.9993992,0.00001113458,0.0004534678,0.000004384567,0.000003321337,0.000002517701,0.00003946972,0.000006019099,0.00008042606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134202,"threshold_uncertainty_score":0.2255201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004644643405467607,"score_gpt":0.1944842760722627,"score_spread":0.1898396326667951,"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."}}