{"id":"W131179603","doi":"","title":"Modeling Study of ozone formation/distribution in the southern Iran","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"CMAQ; Ozone; Environmental science; Air quality index; NOx; Ozone Monitoring Instrument; Oil refinery; Meteorology; Emission inventory; Atmospheric sciences; Waste management; Chemistry; Geography; Combustion; Engineering","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":[0.0001761615,0.000466131,0.0003414825,0.0003657622,0.0004364727,0.0004153112,0.0008090255,0.0005687748,0.0007686579],"category_scores_gemma":[0.0002664799,0.0002782341,0.0007217966,0.0005784362,0.0002358917,0.0002735769,0.0002832505,0.0003422634,0.0001159869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273655,"about_ca_system_score_gemma":0.0009949256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1091367,"about_ca_topic_score_gemma":0.03930205,"domain_scores_codex":[0.9999409,0.00001331126,0.000002049052,0.00001521464,0.000008948929,0.00001958163],"domain_scores_gemma":[0.9999245,0.00002273767,0.00001465257,0.000005512758,0.00002199817,0.00001049029],"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":[0.00006424551,0.00004932539,0.02054534,0.00002032351,0.00003456671,0.0001334552,0.00006593786,0.9735492,0.002026473,0.0009826957,0.0004026589,0.002125741],"study_design_scores_gemma":[0.00004105959,0.00002655237,0.007850846,0.000002753225,0.00001902757,0.0000248454,0.00006322594,0.9906624,0.000543269,0.0002723852,0.0004858784,0.000007712324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915932,0.0001225448,0.003522438,0.0001398542,0.000012096,0.00002052087,0.000528514,0.0001126315,0.003948242],"genre_scores_gemma":[0.9977546,0.00007247314,0.001289678,0.000009272025,0.000005504049,0.00001826229,0.0002026521,0.000008632781,0.0006389762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091367,"threshold_uncertainty_score":0.217003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174147686547686,"score_gpt":0.2465440972055939,"score_spread":0.2048026203401171,"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."}}