{"id":"W2219886881","doi":"10.2991/ism3e-15.2015.100","title":"Analysis and Comparison of Urban Air Quality Management in China, Korea and Thailand","year":2015,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Science Foundation","keywords":"Air quality index; China; Air Pollution Index; Air pollution; Index (typography); Pollution; Quality (philosophy); Developing country; Environmental science; Meteorology; Geography; Economic growth; Computer science; Economics","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":[0.0005990241,0.0001754482,0.0001490281,0.00186542,0.0003069218,0.0007527923,0.0001795795,0.0001436475,0.0005400829],"category_scores_gemma":[0.0007410174,0.0001165278,0.0004234154,0.002709343,0.0001983316,0.000347694,0.0003490497,0.000119527,0.00007307302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007738541,"about_ca_system_score_gemma":0.0008034348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04198068,"about_ca_topic_score_gemma":0.04089685,"domain_scores_codex":[0.9995347,0.00009285888,0.00006573325,0.00007030793,0.0001617233,0.00007467515],"domain_scores_gemma":[0.9991993,0.0001151406,0.0001747242,0.00003797911,0.0003939026,0.00007887245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002073041,0.00006825232,0.9540952,0.0001537345,0.0002088599,0.0004261582,0.0007847913,0.007611368,0.003625554,0.0007834696,0.0005677448,0.03146751],"study_design_scores_gemma":[0.000004970157,0.00007000624,0.9880867,0.00001035202,0.00006813178,0.00009506948,0.001338544,0.007350827,0.001712731,0.0001268272,0.001123076,0.00001277416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964333,0.0001837087,0.000708125,0.00003291803,0.000002889537,0.00001747393,0.000491644,0.00001215518,0.002117926],"genre_scores_gemma":[0.9984192,0.0001310025,0.0003105479,0.000009208358,0.0000021492,0.00001068331,0.0006107079,0.000003266719,0.0005033566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04198068,"threshold_uncertainty_score":0.08347267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893029392790971,"score_gpt":0.3176477817952416,"score_spread":0.2687174878673319,"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."}}