{"id":"W1503797014","doi":"10.1016/j.gloenvcha.2011.08.006","title":"Health damages from air pollution in China","year":2011,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; Division of Emerging Frontiers in Research and Innovation; Federal Aviation Administration; National Science Foundation; U.S. Department of Transportation; Office of Science; U.S. Department of Agriculture; National Aeronautics and Space Administration; Electric Power Research Institute; U.S. Department of Energy; U.S. Environmental Protection Agency","keywords":"Damages; Air pollution; China; Pollution; Environmental science; Environmental health; Environmental planning; Political science; Medicine; Law","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":[0.0008632594,0.0004747079,0.0004206995,0.001859077,0.0009878215,0.0007111345,0.0005278884,0.0007396596,0.001225013],"category_scores_gemma":[0.0006705086,0.0003166089,0.0009755861,0.001897999,0.0007662873,0.0005134614,0.001210427,0.0003740862,0.00007734602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005534684,"about_ca_system_score_gemma":0.003597821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2661324,"about_ca_topic_score_gemma":0.2887236,"domain_scores_codex":[0.9993425,0.0001077402,0.0000571302,0.00008438097,0.0001344129,0.0002738243],"domain_scores_gemma":[0.9993595,0.00006052433,0.000160567,0.00005563429,0.0001581906,0.0002055514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005888824,0.0001397692,0.9778076,0.0001081987,0.0003998731,0.001091512,0.0008916953,0.005795647,0.001639145,0.0006958372,0.0007967696,0.01004497],"study_design_scores_gemma":[0.00001540768,0.00009051442,0.9973961,0.000005077391,0.00008375991,0.0000792542,0.0003710832,0.001006424,0.0001817693,0.0002293848,0.0005312869,0.000009905504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976925,0.0004530732,0.00006563061,0.0003595589,0.00001609141,0.00001145269,0.0003537816,0.000006084534,0.00104201],"genre_scores_gemma":[0.9990472,0.0001911267,0.00001919168,0.00004552702,0.00001376606,0.000004380928,0.0001947401,7.248037e-7,0.0004832553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661324,"threshold_uncertainty_score":0.5291666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244108673367304,"score_gpt":0.2837218246773776,"score_spread":0.2212807379437046,"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."}}