{"id":"W2087662098","doi":"10.1007/s00703-010-0068-x","title":"Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model","year":2010,"lang":"en","type":"article","venue":"Meteorology and Atmospheric Physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Weather Research and Forecasting Model; Mesoscale meteorology; Meteorology; Numerical weather prediction; Environmental science; Trajectory; Climatology; Geography; Geology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000424636,0.0002806691,0.0003328648,0.000001803061,0.0003858388,0.00001772706,0.0002238257,0.0002373536,0.000466558],"category_scores_gemma":[0.0000259659,0.0002532875,0.00005405959,0.0002596047,0.00165548,0.0001601461,0.0001912003,0.000616019,0.00008960972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004147864,"about_ca_system_score_gemma":0.00001445731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002798889,"about_ca_topic_score_gemma":0.00012918,"domain_scores_codex":[0.9982126,0.00005380359,0.0002399736,0.0005871622,0.0003049739,0.000601534],"domain_scores_gemma":[0.999217,0.0001501882,0.00007737628,0.0003139649,0.00001108915,0.0002303963],"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":[0.0007547974,0.001191035,0.149859,0.00006517696,0.0002606465,0.00008837033,0.003061083,0.4785864,0.1901981,0.004352902,0.0003028206,0.1712797],"study_design_scores_gemma":[0.0006273504,0.0001958322,0.01797644,0.000004684217,0.00004330522,0.00003073445,0.00005619451,0.9661526,0.00004235795,0.01439123,0.0001891712,0.0002900726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273322,0.0000440407,0.07007742,0.0001131686,0.00007729729,0.0002568098,0.000003627272,0.00005666911,0.002038827],"genre_scores_gemma":[0.9581763,0.00003016411,0.03865338,0.0002501346,0.00005602018,0.00003347051,0.000008778469,0.00004580937,0.00274598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4875662,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739693553599939,"score_gpt":0.2320766722347009,"score_spread":0.2146797366987015,"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."}}