{"id":"W1963808338","doi":"10.1016/j.fct.2013.04.033","title":"Bioaccessibility of metals in fish, shellfish, wild game, and seaweed harvested in British Columbia, Canada","year":2013,"lang":"en","type":"article","venue":"Food and Chemical Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Université de Montréal","keywords":"Shellfish; Fish <Actinopterygii>; Fishery; Tolerable daily intake; Food science; Environmental chemistry; Biology; Food safety; Toxicology; Animal science; Chemistry; Aquatic animal; Body weight","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002118924,0.0003087393,0.0002581299,0.001750652,0.002325743,0.001019361,0.0005726243,0.0002682697,0.001532303],"category_scores_gemma":[0.0005032996,0.0002456122,0.0001964091,0.002637598,0.0006004814,0.000238441,0.0003493262,0.0003462586,0.000312081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123046,"about_ca_system_score_gemma":0.008513657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910204,"about_ca_topic_score_gemma":0.9975078,"domain_scores_codex":[0.9997521,0.0000124208,0.00001806194,0.00005453439,0.00009775468,0.00006514965],"domain_scores_gemma":[0.999215,0.0000411335,0.00007414247,0.00001530412,0.0005252668,0.0001291367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004565788,0.00007519098,0.9770628,0.0000827609,0.00008451773,0.0003275581,0.002271481,0.0002326539,0.0081345,0.0001430337,0.001061757,0.01006712],"study_design_scores_gemma":[0.000004414218,0.00003224337,0.9955782,0.00001873607,0.00002126114,0.00005909691,0.002370694,0.0001153932,0.0006919918,0.00001549726,0.001085143,0.000007367151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969386,0.0002073115,0.00005435142,0.00003963626,0.000003530545,0.00001280123,0.001310443,0.000004803589,0.001428474],"genre_scores_gemma":[0.993555,0.0003832777,0.0002130838,0.00005846162,0.00000130889,0.00001062677,0.0009465421,0.00000524702,0.004826312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01123046,"threshold_uncertainty_score":0.08148301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107201276045436,"score_gpt":0.216145945308681,"score_spread":0.2054258177041374,"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."}}