{"id":"W4311956793","doi":"10.3390/ijerph192416465","title":"Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Polychlorinated dibenzofurans; Pentachlorophenol; Polychlorinated Dibenzo-p-dioxins; Environmental science; Polychlorinated biphenyl; Polychlorinated dibenzodioxins; Environmental chemistry; Dry weight; Pollutant; Contamination; Incineration; Sediment; Chemistry; Waste management; Agronomy; Ecology; Geology","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":[0.0002025774,0.0004032212,0.000408033,0.001539866,0.0004302935,0.0005492967,0.0002926223,0.0002971041,0.000416204],"category_scores_gemma":[0.0002027987,0.0002507152,0.000250758,0.002297391,0.0002962561,0.000217386,0.0003492767,0.0001285952,0.0001221692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256586,"about_ca_system_score_gemma":0.0007173014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05991156,"about_ca_topic_score_gemma":0.06876281,"domain_scores_codex":[0.9997168,0.00001914896,0.00003162563,0.00007631075,0.0001160564,0.00004000867],"domain_scores_gemma":[0.99979,0.00002155769,0.00005749704,0.000008944055,0.00007902127,0.00004301441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000624699,0.00004088976,0.9483196,0.0001132613,0.0001028532,0.0005296461,0.0006371034,0.0004030565,0.03653229,0.00005406804,0.0001963287,0.01300841],"study_design_scores_gemma":[0.000003161348,0.00001532744,0.9986752,0.000002430807,0.00001379269,0.00006529669,0.0001608847,0.0001938526,0.0006177726,0.00001240213,0.0002361314,0.000003842189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990865,0.0001725866,0.0000998951,0.00001331603,0.000001507542,0.000005158099,0.0003206398,0.000006693576,0.0002937136],"genre_scores_gemma":[0.9984425,0.0001598281,0.0001498219,0.00001395061,0.0000029688,0.00001101444,0.0005990037,0.000002272822,0.0006186676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05991156,"threshold_uncertainty_score":0.1191257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984508200910881,"score_gpt":0.3179353113224874,"score_spread":0.2880902293133786,"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."}}