{"id":"W3121190743","doi":"10.3386/w22804","title":"Trade, Pollution and Mortality in China","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"China; Pollution; Environmental science; Geography; Biology; Ecology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.007210858,0.0001668493,0.0004772536,0.0006715957,0.0002140475,0.00001026429,0.000352437,0.0007078788,0.0003939153],"category_scores_gemma":[0.0009202464,0.0001522098,0.00006242334,0.0001096545,0.0002586945,0.0001124177,0.0006884147,0.001773118,0.0002070908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002810975,"about_ca_system_score_gemma":0.002924519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006839807,"about_ca_topic_score_gemma":0.002345168,"domain_scores_codex":[0.995951,0.001209841,0.0009916745,0.0005620605,0.0006764427,0.0006089548],"domain_scores_gemma":[0.9978099,0.00106559,0.0003133799,0.0003395967,0.0003021708,0.0001693381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001628269,0.00008194767,0.1600263,0.001506688,0.00005699655,0.000003309484,0.001245009,0.0001063143,0.0000683238,0.8025166,0.03342608,0.0007995859],"study_design_scores_gemma":[0.0004206217,0.00002383909,0.4818032,0.0004667206,0.000001969852,4.082556e-7,0.0001112872,0.0002023818,0.000008605824,0.5159828,0.0008987631,0.00007939817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7560912,0.000831598,0.000004059856,0.01351188,0.0008757565,0.001803963,0.0004883487,0.00002571136,0.2263675],"genre_scores_gemma":[0.9976015,0.0006279463,0.00008793336,0.0000940989,0.0006079383,0.0002245357,0.0001162433,0.00002005862,0.0006197413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217769,"threshold_uncertainty_score":0.9997737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4282127672597893,"score_gpt":0.6351057553052308,"score_spread":0.2068929880454415,"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."}}