{"id":"W2142000372","doi":"10.1007/s13280-010-0077-5","title":"Ecological risk assessment of arsenic and metals in sediments of coastal areas of northern Bohai and Yellow Seas, China","year":2010,"lang":"en","type":"article","venue":"AMBIO","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory of Urban and Regional Ecology; Western Economic Diversification Canada; National Natural Science Foundation of China; Chinese Academy of Sciences; City University of Hong Kong","keywords":"Arsenic; Cadmium; Estuary; Sediment; Environmental science; Mercury (programming language); Benthic zone; Environmental chemistry; Contamination; Pollution; Oceanography; Ecology; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147848,0.0004851845,0.0003314325,0.002164337,0.0008328239,0.0007032453,0.0003075457,0.0003003204,0.0002918594],"category_scores_gemma":[0.0003461836,0.0002977404,0.0004312317,0.001318687,0.000341249,0.0003824044,0.0008951213,0.0001182995,0.00003232659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598745,"about_ca_system_score_gemma":0.001573169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09406472,"about_ca_topic_score_gemma":0.1113953,"domain_scores_codex":[0.9997573,0.00006007987,0.00002558933,0.00003602556,0.00007748885,0.00004349351],"domain_scores_gemma":[0.9998165,0.00002647906,0.00005353887,0.000008654095,0.00006105521,0.00003382775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000311893,0.00007148788,0.9736634,0.00007295977,0.0002378126,0.0004254626,0.0009452407,0.008665835,0.008469278,0.0004444891,0.00008837903,0.006603767],"study_design_scores_gemma":[0.00001735116,0.0001163928,0.9889604,0.000007858467,0.0001198961,0.00009226636,0.001444761,0.007010007,0.001328816,0.0004524651,0.0004365574,0.0000131569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995508,0.00004804566,0.0000997801,0.00001270473,6.631388e-7,0.000004162352,0.00005363599,0.00000168422,0.0002283691],"genre_scores_gemma":[0.9995003,0.00005675694,0.0001015505,0.000004118574,7.783936e-7,0.000004163515,0.00007496455,6.997806e-7,0.0002565914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09406472,"threshold_uncertainty_score":0.1870344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005712731359767057,"score_gpt":0.2418320940724045,"score_spread":0.2361193627126375,"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."}}