{"id":"W2779973174","doi":"10.1016/j.envpol.2017.12.006","title":"Public health risk of trace metals in fresh chicken meat products on the food markets of a major production region in southern China","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Research Council Canada; Higher Education Discipline Innovation Project; Chinese Academy of Geological Sciences; Chinese Academy of Sciences; Ministry of Education of the People's Republic of China","keywords":"Health risk; China; Poultry meat; Population; Consumption (sociology); Food science; Processed meat; Toxicology; Chicken Liver; Biology; Environmental health; Geography; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003304163,0.0004334664,0.0002356084,0.001056918,0.0006474954,0.0005584113,0.000399172,0.0004511969,0.001421737],"category_scores_gemma":[0.0002557803,0.0003336024,0.0004699449,0.001067962,0.0005949181,0.0003837951,0.0006111099,0.0002691269,0.0001088587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104178,"about_ca_system_score_gemma":0.001056242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008655,"about_ca_topic_score_gemma":0.137268,"domain_scores_codex":[0.9997819,0.00004106266,0.0000166857,0.00005001805,0.00004133191,0.00006899668],"domain_scores_gemma":[0.9996557,0.00003100713,0.0001358208,0.00001368236,0.00006736783,0.00009644227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001217206,0.00005369209,0.9957558,0.00001404433,0.00003946679,0.0003895175,0.0005212184,0.00007428789,0.001809585,0.00004395007,0.000084198,0.001092548],"study_design_scores_gemma":[0.000004033428,0.00005789155,0.9979602,0.000002755916,0.00001870641,0.00009446657,0.001400802,0.0002144292,0.0001400032,0.00002327109,0.00008049059,0.000002920827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997963,0.00002280505,0.0000114442,0.00002106925,6.691407e-7,0.000002143216,0.00005037696,8.416501e-7,0.00009432015],"genre_scores_gemma":[0.9995402,0.00003184337,0.00002104191,0.00001276221,0.000001423322,0.000002301049,0.00007925025,3.959035e-7,0.0003107629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008655,"threshold_uncertainty_score":0.2005568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359683388655642,"score_gpt":0.231986000371478,"score_spread":0.1960176615059138,"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."}}