{"id":"W2793002778","doi":"10.1002/soej.12260","title":"Surface Coal Mining and Human Health: Evidence from West Virginia","year":2018,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Centers for Disease Control and Prevention; Pontificia Universidad Javeriana","keywords":"Coal mining; Surface mining; West virginia; Externality; Quarter (Canadian coin); Coal; Panel data; Mining engineering; Environmental health; Demographic economics; Geography; Econometrics; Economics; Medicine; Engineering; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009860253,0.0000876828,0.0001650901,0.00002336414,0.001652831,0.0001860729,0.0001772681,0.00006140828,0.002050557],"category_scores_gemma":[0.00002573148,0.00009123784,0.00003205439,0.00001388308,0.0005358298,0.0003019759,0.00004295084,0.0001545526,0.0006092025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279831,"about_ca_system_score_gemma":0.0002454335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01274231,"about_ca_topic_score_gemma":0.06241189,"domain_scores_codex":[0.9989026,0.0001651292,0.0002907898,0.0001680203,0.0001046812,0.0003688093],"domain_scores_gemma":[0.9992412,0.0001484684,0.000220279,0.000087734,0.000009128623,0.0002931382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000322063,0.00002192649,0.7834682,0.00002423725,0.00003064566,0.000005140369,0.2108473,0.00001841688,0.00009007146,0.0005920558,0.002581176,0.002288531],"study_design_scores_gemma":[0.0008339108,0.0003899254,0.4133677,0.0008304085,0.00004518799,0.00002543129,0.5546808,0.00007957219,0.00002490997,0.001758462,0.0275214,0.0004423055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915256,0.002368394,0.0000299421,0.003647856,0.0005545017,0.00007046133,0.00003313948,0.0000167399,0.001753358],"genre_scores_gemma":[0.9943799,0.001759935,0.0004940199,0.0008275313,0.001810011,7.554026e-7,0.000001150802,0.00001260987,0.0007140853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3701005,"threshold_uncertainty_score":0.9996469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05383368744192218,"score_gpt":0.3441877482605765,"score_spread":0.2903540608186543,"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."}}