{"id":"W1990802915","doi":"10.1002/etc.2136","title":"Environmental concentrations and bioaccumulations of cadmium and zinc in coastal watersheds along the Chinese Northern Bohai and Yellow Seas","year":2013,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory of Urban and Regional Ecology; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Bioaccumulation; Biota; Sediment; Cadmium; Environmental chemistry; Environmental science; Carp; Estuary; Ecology; Fishery; Geology; Biology; Chemistry; Fish <Actinopterygii>","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001658461,0.0002456558,0.0002251963,0.00001411915,0.0002175483,0.00002217538,0.0001090987,0.0001695418,0.001538164],"category_scores_gemma":[0.00001412331,0.0001949882,0.00002744776,0.00004429045,0.002505661,0.0002114331,0.0004718096,0.0002254824,0.00002171415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009310274,"about_ca_system_score_gemma":0.000004822631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540727,"about_ca_topic_score_gemma":0.0002570135,"domain_scores_codex":[0.9986863,0.00007611356,0.000321504,0.0004420393,0.0001724223,0.0003016221],"domain_scores_gemma":[0.9993787,0.0001202298,0.00009547289,0.0002238498,4.401332e-7,0.0001812464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007515151,0.0001175083,0.6815137,0.000009378415,0.0000141918,0.000003761551,0.000582353,0.00006918234,0.3162569,0.000001326527,0.00001491542,0.001409173],"study_design_scores_gemma":[0.0006343373,0.00005542512,0.9784056,0.000006544998,0.00002609999,0.00008087122,0.001197415,0.0007918589,0.01815719,0.0001232716,0.0003089877,0.0002123826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980924,0.0004613283,0.00001002031,0.00050966,0.00002485256,0.0003791869,0.0000563008,0.000007941477,0.0004582709],"genre_scores_gemma":[0.9984984,0.0007559651,0.0001737413,0.0001416123,0.00002128849,0.00006296665,0.0000312496,0.00001709502,0.00029768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2980998,"threshold_uncertainty_score":0.9993746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004595288667345005,"score_gpt":0.2031610424825796,"score_spread":0.1985657538152346,"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."}}