{"id":"W2962719129","doi":"10.1016/j.jeem.2019.07.002","title":"Air pollution as a cause of sleeplessness: Social media evidence from a panel of Chinese cities","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":178,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Air pollution; Air quality index; Panel data; Productivity; Pollution; Estimation; Mechanism (biology); Metric (unit); Psychology; Economics; Environmental health; Econometrics; Geography; Meteorology; Medicine; Economic growth; Ecology; Operations management","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":[0.0003479579,0.00008063905,0.0002986155,0.00005659207,0.00005717907,0.00001218044,0.0001609562,0.00004052381,0.0003620399],"category_scores_gemma":[0.000006347433,0.00006880981,0.0001357296,0.00002820782,0.000209483,0.0003674712,0.00005227425,0.0000515152,0.000002430079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008204873,"about_ca_system_score_gemma":0.00002007954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003934619,"about_ca_topic_score_gemma":0.0004992132,"domain_scores_codex":[0.9992231,0.00003167026,0.0003988871,0.0001084748,0.000142502,0.00009536259],"domain_scores_gemma":[0.9993331,0.00005747471,0.0004781672,0.00007648586,0.00000622966,0.00004854854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004178046,0.0004427935,0.9476307,0.0001620925,0.001646037,0.00001275795,0.03692036,0.000431054,0.0008168229,0.004549238,0.00006047783,0.006909874],"study_design_scores_gemma":[0.000459354,0.00005115598,0.9857377,0.0000296061,0.0002602383,2.524563e-7,0.008432935,0.00001283391,0.00008321297,0.00422789,0.0006228237,0.00008199232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979552,0.0007070646,0.00001133514,0.0003898147,0.0001832991,0.0001204038,0.00004617433,0.000001481441,0.0005852277],"genre_scores_gemma":[0.9933349,0.006336949,0.0001025224,0.00005218973,0.0000864267,0.000001453758,0.000002238547,0.000004547979,0.00007879412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03810702,"threshold_uncertainty_score":0.3964083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913159247634928,"score_gpt":0.2395379802533592,"score_spread":0.2204063877770099,"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."}}