{"id":"W6884458648","doi":"10.1021/es0520161.s001","title":"Ecosystemic Effects of Salmon\\nFarming Increase Mercury\\nContamination in Wild Fish","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Demersal fish; Demersal zone; Aquaculture; Fish farming; Trophic level; Sediment","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":[0.0001100847,0.00009566709,0.00008452933,0.000234382,0.0003943876,0.0003148835,0.0001573051,0.0001472716,0.001257987],"category_scores_gemma":[0.0002301841,0.00008172629,0.0001190531,0.0002499774,0.0003668666,0.0001448982,0.000320495,0.0001323982,0.0001252713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528105,"about_ca_system_score_gemma":0.001324414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1972198,"about_ca_topic_score_gemma":0.6143757,"domain_scores_codex":[0.9999256,0.0000103093,0.000004327439,0.00001764398,0.0000186094,0.00002358941],"domain_scores_gemma":[0.9998473,0.00001510076,0.00004989235,0.000009213039,0.00004867756,0.00002979661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000180763,0.00005268234,0.9413165,0.0000844544,0.00005451965,0.0001773622,0.0008097774,0.0002157267,0.04475247,0.000117195,0.0002162406,0.01202241],"study_design_scores_gemma":[0.000001692194,0.0000754542,0.9975394,0.000007293947,0.00001173444,0.00003515246,0.0006995577,0.00007978753,0.001193696,0.00003337624,0.0003207793,0.000001997568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990798,0.00003610526,0.00004622436,0.00002522135,9.838202e-7,0.0000019978,0.00004721299,0.000003519327,0.0007588589],"genre_scores_gemma":[0.9990926,0.00007318298,0.0001236054,0.0000250579,7.086673e-7,0.000002494371,0.00006787808,0.000001268541,0.0006131937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972198,"threshold_uncertainty_score":0.3921437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216551813116591,"score_gpt":0.2346658661632396,"score_spread":0.2225003480320737,"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."}}