{"id":"W2112736175","doi":"10.1897/07-527","title":"MERCURY AND OTHER TRACE ELEMENTS IN FARMED AND WILD SALMON FROM BRITISH COLUMBIA, CANADA","year":2007,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biomagnification; Bioaccumulation; Methylmercury; Mercury (programming language); Bioconcentration; Fishery; Animal science; Biology; Fish farming; Ecotoxicology; Aquaculture; Fish <Actinopterygii>; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002402165,0.0003047937,0.0002402112,0.00111566,0.001414481,0.0006655244,0.0004131359,0.0002516177,0.001057036],"category_scores_gemma":[0.0004766301,0.0002150179,0.000174059,0.00219462,0.0004866064,0.0001554026,0.0003565577,0.0002270665,0.0002788646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005542059,"about_ca_system_score_gemma":0.004772121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9494716,"about_ca_topic_score_gemma":0.9840607,"domain_scores_codex":[0.9996685,0.00001514724,0.00002299388,0.00007473281,0.0001593929,0.00005920241],"domain_scores_gemma":[0.9992779,0.00003351121,0.00006955648,0.00002188604,0.0005064726,0.00009068476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001433727,0.00004909588,0.9742992,0.00007775438,0.00006103814,0.0002443992,0.001205545,0.0001184493,0.01082009,0.0000334914,0.0007683946,0.01217909],"study_design_scores_gemma":[0.00000441748,0.00005680544,0.9969136,0.00001136984,0.00001669703,0.000083597,0.0009894209,0.00007504657,0.0005810063,0.00000835783,0.001252603,0.000006978528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969084,0.000225877,0.0000567458,0.00002601846,0.000003737021,0.00001446733,0.001530829,0.00000654629,0.001227498],"genre_scores_gemma":[0.9923677,0.0004382591,0.0004399186,0.0001160124,0.000002678294,0.00002571031,0.003185349,0.000007413456,0.003416917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05052841,"threshold_uncertainty_score":0.1016519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005143708177035739,"score_gpt":0.2020509720602971,"score_spread":0.1969072638832614,"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."}}