{"id":"W1982807331","doi":"10.1007/s10750-009-9951-1","title":"Potential causes of enhanced transfer of mercury to St. Lawrence River Biota: implications for sediment management strategies at Cornwall, Ontario, Canada","year":2009,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Ottawa; St. Lawrence River Institute of Environmental Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Perch; Food web; Trophic level; Predation; Benthic zone; Mercury (programming language); Bioaccumulation; Invertebrate; Biota; Ecology; Biomagnification; Food chain; Environmental science; Biology; Fishery; 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":[0.0003830262,0.0002629965,0.0002577915,0.0008397019,0.002909112,0.001266382,0.0008522662,0.0006633246,0.001495167],"category_scores_gemma":[0.00114478,0.0003048978,0.0002519116,0.001319811,0.001212467,0.0005684532,0.0006476062,0.0004631885,0.0001485233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02779182,"about_ca_system_score_gemma":0.02522707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818008,"about_ca_topic_score_gemma":0.9927728,"domain_scores_codex":[0.9995251,0.00004143032,0.00002316887,0.00009189772,0.0001245245,0.0001939815],"domain_scores_gemma":[0.9988337,0.0000784951,0.0002240792,0.00003061257,0.0007254299,0.0001076683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002091085,0.0000455456,0.9739116,0.0001036647,0.00006137113,0.0005665451,0.001559953,0.001513516,0.01111251,0.001038281,0.001491811,0.008386191],"study_design_scores_gemma":[0.00001041159,0.00002281042,0.9934824,0.00001554029,0.0000235356,0.00009974895,0.002737867,0.0007156292,0.001418306,0.000175224,0.001285782,0.00001271424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995685,0.0002306044,0.0001271713,0.000742581,0.000005663604,0.00001667468,0.0004269951,0.00001219709,0.002753095],"genre_scores_gemma":[0.9980389,0.0002712816,0.0001433041,0.00009291466,0.00000250103,0.000006376021,0.0001440917,0.000003009419,0.00129754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02779182,"threshold_uncertainty_score":0.2016447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423557713767643,"score_gpt":0.24358855658571,"score_spread":0.2293529794480335,"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."}}