{"id":"W6940352607","doi":"10.1021/acs.est.5b03943.s001","title":"Projecting\\nFish Mercury Levels in the Province of\\nOntario, Canada and the Implications for Fish and Human Health","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Fish consumption; Pike; Human health; Fish <Actinopterygii>; Trout; MERCURY EXPOSURE; Methylmercury","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003682802,0.0004206394,0.0001713873,0.001417524,0.001238054,0.001099441,0.0006137076,0.0003973224,0.003631879],"category_scores_gemma":[0.001055776,0.0002137599,0.0008076672,0.002520711,0.0003836085,0.0004239593,0.0009339997,0.000519681,0.0004824394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02949129,"about_ca_system_score_gemma":0.06485797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984285,"about_ca_topic_score_gemma":0.9991246,"domain_scores_codex":[0.9996254,0.00002300237,0.0000189313,0.00004853606,0.0001294642,0.000154638],"domain_scores_gemma":[0.9990583,0.00002648857,0.00009645636,0.00001691815,0.0006299229,0.0001718879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001263238,0.0000402979,0.9151915,0.000443393,0.0003361381,0.0003437946,0.001433254,0.004189096,0.001100588,0.002773403,0.03806082,0.03596133],"study_design_scores_gemma":[0.00002574154,0.00002387743,0.9560442,0.00020035,0.0001201258,0.00007791864,0.003034095,0.003772856,0.0003504363,0.0004816926,0.03583356,0.00003508544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7492055,0.006319471,0.003596695,0.01415029,0.0002758231,0.000202529,0.1603169,0.0002969067,0.06563597],"genre_scores_gemma":[0.9404067,0.004737904,0.003824868,0.0009601234,0.00003358525,0.0001044342,0.03135629,0.00005191289,0.01852403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949129,"threshold_uncertainty_score":0.2139753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156394074758497,"score_gpt":0.257171017742029,"score_spread":0.215607076994444,"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."}}