{"id":"W2896337616","doi":"10.1016/j.envpol.2018.10.015","title":"Rare earth elements in the Pearl River Delta of China: Potential impacts of the REE industry on water, suspended particles and oysters","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estuary; Environmental science; Rare earth; Rare-earth element; Pearl; Chine; Dry season; Hydrology (agriculture); Surface water; Wet season; Environmental chemistry; Geology; China; Oceanography; Mineralogy; Chemistry; Environmental engineering; Ecology; Biology; Geography","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":[0.0002083246,0.000267314,0.0002751637,0.001252765,0.0005607987,0.0005798369,0.0004055204,0.0003278683,0.0005348906],"category_scores_gemma":[0.0001830314,0.0002401723,0.0002159865,0.001275894,0.0004064318,0.0005826073,0.0005809565,0.0001413608,0.00006696505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009032157,"about_ca_system_score_gemma":0.001251353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09128132,"about_ca_topic_score_gemma":0.1432151,"domain_scores_codex":[0.9998776,0.00001322897,0.00001222274,0.00003079908,0.00003856728,0.00002747629],"domain_scores_gemma":[0.9998683,0.00001422161,0.00003345139,0.000005934288,0.00005673102,0.00002127222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001723533,0.0000414474,0.9665657,0.00008805195,0.00008487051,0.0008594401,0.001012122,0.0009367514,0.01807596,0.0003750887,0.0001291172,0.01165903],"study_design_scores_gemma":[0.000006041914,0.00003795737,0.9950824,0.000006655822,0.0000259138,0.0001241124,0.001593771,0.001257596,0.001124969,0.0001464174,0.0005877551,0.000006404988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994281,0.00007242728,0.00004495487,0.00002611503,6.391319e-7,0.000001625437,0.00006141063,0.000001454108,0.0003632372],"genre_scores_gemma":[0.9990712,0.0001225023,0.00006321375,0.00001321004,0.000001125167,0.000001753245,0.00008816964,0.000001088284,0.0006378053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09128132,"threshold_uncertainty_score":0.1815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005894844850563922,"score_gpt":0.1783728324355568,"score_spread":0.1724779875849929,"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."}}