{"id":"W2775306293","doi":"10.2139/ssrn.5241955","title":"Severe Air Pollution and School Absences: Longitudinal Data on Expatriates in North China","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Residence; Expatriate; China; Demography; Demographic economics; Quarter (Canadian coin); Geography; Sample (material); Ventilation (architecture); Panel data; Environmental health; Socioeconomics; Medicine; Economics; Meteorology; Sociology; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009461598,0.0005568473,0.0005869712,0.001634109,0.001346964,0.001009317,0.0008791956,0.0007388449,0.001944538],"category_scores_gemma":[0.00160017,0.0006128545,0.0008940464,0.003418788,0.0006909891,0.001010374,0.001734272,0.0009481077,0.0004947725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148416,"about_ca_system_score_gemma":0.0025662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2254509,"about_ca_topic_score_gemma":0.3067362,"domain_scores_codex":[0.9991317,0.0001534292,0.0001025187,0.0002079132,0.0001167978,0.0002875582],"domain_scores_gemma":[0.9971329,0.0002008767,0.0009182119,0.0002682522,0.0004590013,0.001020769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002648639,0.00002973152,0.998899,0.000005524843,0.00005078366,0.00005186822,0.0003034495,0.00003501208,0.00005880731,0.00001371366,0.0001107467,0.0004149149],"study_design_scores_gemma":[0.000001837799,0.00001698089,0.9988025,0.000004784796,0.00001622363,0.00001939782,0.0008741582,0.0001104153,0.00001332899,0.00001113321,0.0001248341,0.000004337519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988649,0.0001365349,0.00005290208,0.00007017134,0.000007130103,0.000003880805,0.0006894204,0.000002193123,0.0001728918],"genre_scores_gemma":[0.9982804,0.00009102925,0.00002490505,0.00002783489,0.000007243037,0.000009870108,0.001046291,0.000001840433,0.0005105901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2254509,"threshold_uncertainty_score":0.4482773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769628970615084,"score_gpt":0.3120228169341745,"score_spread":0.2843265272280237,"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."}}