{"id":"W3134139067","doi":"10.3390/ijerph18052565","title":"Effects of Speciation, Cooking and Changes in Bioaccessibility on Methylmercury Exposure Assessment for Contrasting Diets of Fish and Marine Mammals","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Health Canada; Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Methylmercury; Fish <Actinopterygii>; Genetic algorithm; Marine fish; Fishery; Biology; Environmental chemistry; Environmental science; Zoology; Ecology; Chemistry; Bioaccumulation","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":[0.001801383,0.0003352974,0.0003107461,0.0005468156,0.0003981364,0.001015574,0.0005379543,0.0004695153,0.0008266186],"category_scores_gemma":[0.003935873,0.0002497168,0.00093284,0.0004883177,0.0005259793,0.0004537477,0.0006563297,0.0003991678,0.0001247069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148803,"about_ca_system_score_gemma":0.0005502501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04352517,"about_ca_topic_score_gemma":0.04544916,"domain_scores_codex":[0.9989604,0.0003501719,0.00006501963,0.0002557799,0.0002963561,0.00007218099],"domain_scores_gemma":[0.9981528,0.001027226,0.0003023162,0.00009981944,0.0003551921,0.00006257852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004095387,0.0002790765,0.7227724,0.0002723653,0.0009775579,0.0005670467,0.001520048,0.02808761,0.2078138,0.0007073936,0.0001190487,0.03278834],"study_design_scores_gemma":[0.00001145891,0.001809509,0.9332649,0.00001694172,0.000350557,0.0002781507,0.0008489991,0.02809979,0.0341334,0.0003778861,0.0007713354,0.00003706243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978479,0.00007418387,0.00145988,0.00001213694,0.000001252003,0.0000122074,0.00009623335,0.000007942189,0.0004882115],"genre_scores_gemma":[0.9969349,0.00007243604,0.002395877,0.00001533269,7.619039e-7,0.00001218299,0.0001903996,0.000009199142,0.0003690078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04352517,"threshold_uncertainty_score":0.08654362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132667973068316,"score_gpt":0.3994073407129835,"score_spread":0.3380806609823003,"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."}}