{"id":"W2883349256","doi":"10.1002/etc.4233","title":"Percentage of methylmercury in the muscle tissue of freshwater fish varies with body size and age and among species","year":2018,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Ministry of Natural Resources and Forestry; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Methylmercury; Pike; Trophic level; Predatory fish; Forage fish; Muscle tissue; Mercury (programming language); Freshwater fish; Pelagic zone; Biology; Animal science; Fishery; Zoology; Fish <Actinopterygii>; Chemistry; Ecology; Bioaccumulation; Anatomy","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":[0.0001229761,0.0001769964,0.0001625297,0.0004244128,0.0002079678,0.0002302139,0.0001193167,0.0001725641,0.0009748738],"category_scores_gemma":[0.0002979443,0.0001627465,0.0002250946,0.0003764654,0.0001749314,0.0002390187,0.000235355,0.0001076586,0.0002392382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111658,"about_ca_system_score_gemma":0.0001428069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005198987,"about_ca_topic_score_gemma":0.01054319,"domain_scores_codex":[0.9998964,0.000005705324,0.000009375466,0.00004607414,0.00002944684,0.00001296323],"domain_scores_gemma":[0.9998329,0.00002187841,0.00008571128,0.00001061932,0.00003462831,0.00001422659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002050679,0.00001714368,0.5880648,0.0001219461,0.0001287153,0.000151896,0.0002477567,0.0004097574,0.3904466,0.00005805316,0.00008428428,0.02006399],"study_design_scores_gemma":[9.817662e-7,0.00007504683,0.9919354,0.000003778152,0.00002062887,0.0001063946,0.00007492206,0.000223261,0.007310797,0.000022005,0.0002229051,0.000003799033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988272,0.0001826476,0.0003344597,0.000008888662,0.000001616327,0.000002790835,0.000196227,0.00001048874,0.000435639],"genre_scores_gemma":[0.9977933,0.0002269991,0.0006689102,0.00002278809,0.000002451416,0.0000104954,0.0003185547,0.000005342898,0.0009510835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005198987,"threshold_uncertainty_score":0.01033747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007134421297611266,"score_gpt":0.2180041104629583,"score_spread":0.210869689165347,"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."}}