{"id":"W4214846261","doi":"10.1139/er-2021-0035","title":"Review on coal fly ash generation and utilization for resolving mercury contamination issues in Central Asia: Kazakhstan","year":2022,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Al-Farabi Kazakh National University; Nazarbayev University","keywords":"Mercury (programming language); Contamination; Environmental science; Coal; Fly ash; Mercury contamination; Environmental protection; Electricity generation; Waste management; Ecology; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000660024,0.0001140662,0.0002073218,0.00003820062,0.0001953592,0.00001856151,0.00007451136,0.00001915284,0.0006950848],"category_scores_gemma":[0.00007257199,0.00009968605,0.00003531288,0.00008727757,0.00002442463,0.0001637324,0.00001778507,0.00009388874,0.00002883552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003520354,"about_ca_system_score_gemma":0.000007854484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005333046,"about_ca_topic_score_gemma":0.0002737796,"domain_scores_codex":[0.9988399,0.0002343059,0.0002942808,0.0002888494,0.0001735268,0.0001691603],"domain_scores_gemma":[0.9996985,0.00003196817,0.0001070576,0.0001173506,9.892069e-7,0.0000441644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003509066,0.00007462905,0.03513572,0.0003196936,0.000005008964,0.000003393427,0.0003474052,0.0001077423,0.0009013178,0.00004600582,0.02690484,0.9361191],"study_design_scores_gemma":[0.0001835383,0.0002327371,0.1177405,0.00015252,0.00001579152,0.00000554773,0.00007411998,0.002334007,0.0001670891,0.0000284068,0.8789424,0.0001232614],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.181453,0.811643,0.00009707482,0.002658305,0.0004854567,0.002767838,0.000145777,0.00001741976,0.0007321417],"genre_scores_gemma":[0.6416309,0.35261,0.0003467028,0.001794229,0.0002093396,0.0000564331,0.002329507,0.000007581163,0.001015338],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9359959,"threshold_uncertainty_score":0.7610691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053916668470497,"score_gpt":0.2608287410287949,"score_spread":0.2102895743440899,"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."}}