{"id":"W4381470684","doi":"10.1007/s11356-023-28274-6","title":"Identifying drivers affecting air quality in metropolitan areas of developing countries: evidence from Tehran metropolitan area","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Metropolitan area; Air quality index; Urbanization; Corporate governance; Business; Urban planning; Developing country; Economic growth; Environmental planning; Geography; Economics; Finance; 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":[0.001995943,0.0002993308,0.0002337361,0.001222577,0.0006966196,0.0007209895,0.0005139917,0.0004267165,0.001381626],"category_scores_gemma":[0.004139639,0.0002544097,0.0005729126,0.001877618,0.0006267686,0.0009549551,0.0009596262,0.0006073453,0.0001128177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025736,"about_ca_system_score_gemma":0.002302592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03770911,"about_ca_topic_score_gemma":0.05644668,"domain_scores_codex":[0.9991683,0.0002273696,0.00009395809,0.00009415579,0.0002608031,0.0001554183],"domain_scores_gemma":[0.9974725,0.000881784,0.0007032931,0.0001010143,0.0006610206,0.0001804175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005220812,0.0001362381,0.9653155,0.0008360352,0.00010133,0.0004299504,0.01137628,0.0001773057,0.0002964914,0.000557837,0.001168562,0.01955224],"study_design_scores_gemma":[0.000004840355,0.00007565583,0.9676503,0.0002644461,0.00006399315,0.0001185238,0.02832374,0.0002409766,0.0001388615,0.0001034004,0.003003945,0.00001128738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963377,0.0009860859,0.00009535348,0.0007054174,0.0000178161,0.00002920334,0.0002883199,0.000002426341,0.001537746],"genre_scores_gemma":[0.9982721,0.001169288,0.0001501389,0.00007933879,0.00001226091,0.00001806328,0.0001890312,0.000001088514,0.0001087695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03770911,"threshold_uncertainty_score":0.07497925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182470228212882,"score_gpt":0.3445085135605785,"score_spread":0.2262614907392903,"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."}}