{"id":"W4252605043","doi":"10.5194/acpd-10-9801-2010","title":"Impact of model resolution on chemical ozone formation in Mexico City; application of the WRF-Chem model","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Weather Research and Forecasting Model; NOx; Ozone; Chemical transport model; Atmospheric sciences; Environmental science; Resolution (logic); Meteorology; Pollutant; Chemistry; Physics; Physical 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":[0.0005668562,0.0007199267,0.0004850585,0.0002743393,0.0005759842,0.0009476366,0.0008766493,0.001008972,0.001187844],"category_scores_gemma":[0.001657348,0.0003344686,0.0008049618,0.0003699007,0.0002805981,0.0006531787,0.0004119203,0.0008214234,0.0001370531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363895,"about_ca_system_score_gemma":0.0009134702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1292385,"about_ca_topic_score_gemma":0.04311219,"domain_scores_codex":[0.9997613,0.00007860149,0.00001321902,0.00006977028,0.00003331264,0.00004373326],"domain_scores_gemma":[0.9992819,0.0003587082,0.00008953499,0.00008784325,0.0001354348,0.00004654446],"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":[0.0002400098,0.0001370535,0.04525172,0.00004175091,0.0001401552,0.000146257,0.00002722378,0.947094,0.002232288,0.0004172488,0.0006764951,0.003595689],"study_design_scores_gemma":[0.0001198194,0.0000855198,0.01772287,0.000008674448,0.00006618517,0.00001886434,0.00004082932,0.9789889,0.002266632,0.00008945959,0.0005725952,0.00001958362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926301,0.0001696183,0.002583534,0.0002281137,0.00002998742,0.00003353612,0.001285201,0.0002749596,0.002765039],"genre_scores_gemma":[0.9970816,0.00006589193,0.001804684,0.00002546174,0.00000577119,0.00002086171,0.0006834823,0.00002456797,0.0002876595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292385,"threshold_uncertainty_score":0.2569725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543669160668478,"score_gpt":0.2545163158479526,"score_spread":0.2290796242412678,"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."}}