{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000236565,0.0001818944,0.000203975,0.00001976373,0.0001266579,0.000005331709,0.0002064564,0.00009683521,0.00419719],"category_scores_gemma":[0.000006019672,0.000183663,0.00004293001,0.0001431979,0.0001876621,0.000390521,0.0002352614,0.0001366576,0.001666377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394657,"about_ca_system_score_gemma":0.000008436713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05527837,"about_ca_topic_score_gemma":0.004022163,"domain_scores_codex":[0.9983819,0.0001294449,0.0002712339,0.0003723196,0.0002956067,0.0005494883],"domain_scores_gemma":[0.999306,0.000005300098,0.0001111812,0.0002580742,2.031493e-7,0.0003191966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001041102,0.0006829682,0.8680665,0.00001465543,0.00000747049,0.00002617765,0.008625618,0.00002156881,0.00004291021,0.0002122581,0.006579363,0.1156164],"study_design_scores_gemma":[0.0003991464,0.0001711836,0.9885408,0.00001743938,0.00000283555,0.000004501349,0.000285277,0.00009180377,0.00005463494,0.001490024,0.00876987,0.0001724698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978531,0.0006772091,0.0001302658,0.008650078,0.0001985241,0.0005104051,0.0005216435,0.00006256842,0.01071831],"genre_scores_gemma":[0.9808332,0.0002442306,0.001156126,0.01753472,0.00006982961,0.00002637017,0.00007032113,0.00001041708,0.00005472872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1204743,"threshold_uncertainty_score":0.9991109,"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."}}