{"id":"W2051734227","doi":"10.1021/es0520161","title":"Ecosystemic Effects of Salmon Farming Increase Mercury Contamination in Wild Fish","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"Health Canada","keywords":"Mercury (programming language); Fishery; Demersal zone; Demersal fish; Environmental science; Aquaculture; Predation; Trophic level; Fish farming; Rockfish; Ecology; Pelagic zone; Biology; Fish <Actinopterygii>","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":[0.0001224406,0.0001442744,0.0001100243,0.0002666126,0.0003914159,0.0003432889,0.0001616996,0.0002030557,0.001256516],"category_scores_gemma":[0.0003429268,0.0001140047,0.0001302505,0.0003247302,0.0003420395,0.0001403328,0.0003696892,0.0001684001,0.00009871348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189268,"about_ca_system_score_gemma":0.001251606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09874701,"about_ca_topic_score_gemma":0.3469793,"domain_scores_codex":[0.9998848,0.00002220321,0.00000671544,0.00002216644,0.0000254665,0.00003854917],"domain_scores_gemma":[0.9997279,0.00003304237,0.0001063004,0.00001681183,0.00006066142,0.00005530601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660355,0.00006109877,0.9517396,0.0000392105,0.0000426994,0.0002583402,0.0003193319,0.0001752314,0.04109528,0.00005295874,0.0001008826,0.005949376],"study_design_scores_gemma":[0.000001516903,0.00005373813,0.9987,0.000002704906,0.000008720568,0.00003801251,0.0003318802,0.000081515,0.0006696349,0.00002011685,0.00009086989,0.000001198539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996904,0.00001653243,0.00001964147,0.00001433762,3.654443e-7,0.000001186057,0.00001791751,0.000002258533,0.0002373769],"genre_scores_gemma":[0.9995838,0.00003968477,0.00008536782,0.00001694944,6.969485e-7,0.000002085798,0.00003665477,7.940274e-7,0.0002339945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09874701,"threshold_uncertainty_score":0.1963445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00298319520169264,"score_gpt":0.2040107412194411,"score_spread":0.2010275460177485,"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."}}