{"id":"W2811450701","doi":"","title":"Fine scale CMAQ modeling driven by urbanized MM5 and WRF models","year":2007,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"CMAQ; MM5; Weather Research and Forecasting Model; Scale (ratio); Environmental science; Meteorology; Climatology; Mesoscale meteorology; Geography; Air quality index; Geology; Cartography","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":[0.0006800911,0.000636472,0.0007157694,0.0006281635,0.0006172718,0.0009651806,0.001798012,0.001554888,0.003326628],"category_scores_gemma":[0.001789009,0.0007822213,0.001187868,0.001538667,0.0005451023,0.001328483,0.0005705862,0.001061874,0.0004284064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091384,"about_ca_system_score_gemma":0.002129495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1378939,"about_ca_topic_score_gemma":0.1069246,"domain_scores_codex":[0.9996855,0.000084139,0.00001935152,0.00008268657,0.00005282702,0.00007560939],"domain_scores_gemma":[0.9992412,0.0002134067,0.0000811284,0.000124102,0.0002451347,0.00009502716],"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":[0.00003576367,0.00003104571,0.003052905,0.00001109135,0.00002570301,0.00003279568,0.0000158809,0.9929324,0.000647862,0.0007654934,0.0005338111,0.001915162],"study_design_scores_gemma":[0.00001806509,0.000004306845,0.001249583,0.000001112727,0.000005755627,0.000002616809,0.000008344954,0.9979306,0.0003135742,0.00023963,0.0002174322,0.000008935776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448366,0.0001390902,0.0378068,0.0008696073,0.0002373362,0.00006314397,0.005203367,0.002095958,0.008748123],"genre_scores_gemma":[0.9892808,0.0000403638,0.007899104,0.00004317949,0.00002085122,0.0000297003,0.001419203,0.0001302592,0.00113647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1378939,"threshold_uncertainty_score":0.2741824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768676895662833,"score_gpt":0.2495475403332268,"score_spread":0.2318607713765985,"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."}}