{"id":"W4394796271","doi":"10.1016/j.scitotenv.2024.172437","title":"Environmental pollution and human health risk due to tailings storage facilities in China","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Tailings Management and Properties","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Klohn Crippen Berger (Canada)","funders":"National Natural Science Foundation of China","keywords":"Tailings; Environmental science; Pollution; Human health; Environmental protection; Pollutant; Environmental health; China; Environmental pollution; Heavy metals; Health risk assessment; Environmental engineering; Environmental chemistry; Geography; Ecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000661516,0.0001009525,0.00009422165,0.00007731142,0.0002196299,0.00004661675,0.0002491113,0.00001358395,0.00004379066],"category_scores_gemma":[0.000005911304,0.00006080597,0.00002966231,0.0001235519,0.0004642511,0.0001531608,0.0002561419,0.0001300243,0.00002273512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002098096,"about_ca_system_score_gemma":0.000007226044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002769287,"about_ca_topic_score_gemma":0.000006048396,"domain_scores_codex":[0.9991583,0.00002941169,0.0001548617,0.000170253,0.0002723403,0.000214783],"domain_scores_gemma":[0.9997026,0.000008183729,0.00002293573,0.0002238106,3.863767e-7,0.00004202348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000009001856,0.00003197115,0.0001371919,0.0001300092,0.00002048565,0.000001684342,0.01797457,0.8533939,0.1096954,0.00105543,0.0001462837,0.01740399],"study_design_scores_gemma":[0.0005381849,0.0006404528,0.7274104,0.0003979465,0.00005720157,0.00003049741,0.008271575,0.2027729,0.04839817,0.0044695,0.006121597,0.0008915515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973299,0.0009558912,0.00008005802,0.0008310293,0.0001455774,0.0002646976,0.00001761907,0.00003123126,0.0003440288],"genre_scores_gemma":[0.9986906,0.0001373491,0.00005255659,0.000009489832,0.00001584711,0.000009821334,3.567722e-7,0.000008114407,0.001075887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7272733,"threshold_uncertainty_score":0.2479596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006219501367718296,"score_gpt":0.1848371124507993,"score_spread":0.178617611083081,"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."}}