{"id":"W2777565068","doi":"10.1039/c7em00539c","title":"The influence of chemical degradation during dietary exposures to fish on biomagnification factors and bioaccumulation factors","year":2017,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada); The Scarborough Hospital; University of Toronto; Trent University; Toronto Public Health","funders":"Environment and Climate Change Canada; Health and Environmental Sciences Institute","keywords":"Biomagnification; Bioaccumulation; Fish <Actinopterygii>; Environmental chemistry; Degradation (telecommunications); Environmental science; Bioconcentration; Chemistry; Fishery; Biology","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":[0.0002917467,0.0001577449,0.0001409305,0.000173748,0.0001098179,0.0003221793,0.0001030421,0.000195254,0.00113366],"category_scores_gemma":[0.0008857471,0.0001332582,0.0002702887,0.0001341367,0.000207875,0.0002013245,0.000180904,0.0001981115,0.0002394954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000398816,"about_ca_system_score_gemma":0.0003027678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006534518,"about_ca_topic_score_gemma":0.005833624,"domain_scores_codex":[0.9998154,0.0000330873,0.00001634792,0.00005454783,0.00004574817,0.00003492799],"domain_scores_gemma":[0.9992461,0.0002583072,0.0001757081,0.00008447283,0.0001728481,0.00006258448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003219976,0.00006251263,0.05822098,0.000108064,0.0001542506,0.0001249958,0.0001282936,0.001445355,0.9186634,0.0001530496,0.0001501173,0.01756877],"study_design_scores_gemma":[0.000009558337,0.0009587196,0.4260677,0.00001336223,0.00008612116,0.0002176667,0.0001733103,0.002002873,0.5688382,0.0001348571,0.001477051,0.00002056779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971918,0.0005115332,0.0006231854,0.00003106723,0.000004904385,0.000007587626,0.0002946191,0.00001088233,0.001324322],"genre_scores_gemma":[0.9974877,0.0002813748,0.0004069471,0.00003106592,0.000002654363,0.000007355463,0.0002837635,0.00001093171,0.0014883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006534518,"threshold_uncertainty_score":0.01299298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523998689483396,"score_gpt":0.2802528324182051,"score_spread":0.2550128455233711,"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."}}