{"id":"W2915797590","doi":"10.1007/s10546-019-00434-7","title":"UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part II: Simulation of Puff Parameters","year":2019,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"European Commission; National Oceanic and Atmospheric Administration; Directorate-General for Migration and Home Affairs","keywords":"Environmental science; Atmospheric dispersion modeling; Meteorology; Downtown; Daytime; TRACER; Dispersion (optics); Sampling (signal processing); Atmospheric sciences; Geography; Air pollution; Geology; Engineering; Physics; Chemistry","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":[0.002074471,0.001411544,0.0007833238,0.0006822129,0.0009748747,0.0009878103,0.001738625,0.001746795,0.001326576],"category_scores_gemma":[0.003472279,0.0006325012,0.001060709,0.0006490443,0.0004937118,0.0009643827,0.0007270066,0.001395256,0.0002128874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017813,"about_ca_system_score_gemma":0.001530502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1912968,"about_ca_topic_score_gemma":0.1457799,"domain_scores_codex":[0.9995043,0.0001662083,0.00003682255,0.0001242613,0.00008429617,0.00008417182],"domain_scores_gemma":[0.9975352,0.001558018,0.0001920545,0.0001925666,0.0003755005,0.0001465374],"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":[0.000309328,0.0003664732,0.02077062,0.00004622886,0.0001210673,0.0001331792,0.00008387867,0.970926,0.0008639172,0.0002640675,0.001136494,0.004978817],"study_design_scores_gemma":[0.0000597209,0.0001015861,0.005032157,0.000005044156,0.00001725132,0.00001088347,0.00006827584,0.9935519,0.0007625915,0.00006197117,0.0003139033,0.00001477214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894577,0.00009950082,0.004024532,0.0003033882,0.00004238228,0.000109523,0.002900448,0.0008912492,0.002171343],"genre_scores_gemma":[0.9872158,0.00005021675,0.007592901,0.00006745535,0.00001050522,0.0001190104,0.004018478,0.00009141996,0.0008341179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1912968,"threshold_uncertainty_score":0.3803667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08589457013480098,"score_gpt":0.2874046637422454,"score_spread":0.2015100936074445,"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."}}