{"id":"W2791953144","doi":"10.1016/j.scitotenv.2018.01.044","title":"Spatial variation of mercury bioaccumulation in bats of Canada linked to atmospheric mercury deposition","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture; Western University; Ministère des Ressources naturelles et des Forêts; Alberta Environment and Protected Areas; St. Lawrence River Institute of Environmental Sciences; Government of Newfoundland and Labrador; University of Calgary; Ministry of Natural Resources and Forestry; University of Winnipeg; Yukon Department of Environment; Environment and Climate Change Canada; Canadian Wildlife Federation; University of Ottawa","funders":"National Research Council Canada; U.S. Fish and Wildlife Service; Environment and Climate Change Canada; British Columbia Ministry of Agriculture and Lands","keywords":"Mercury (programming language); Bioaccumulation; Myotis lucifugus; Methylmercury; Eptesicus fuscus; MERCURE; Ecology; Environmental science; Biology; Environmental chemistry; Chemistry","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":[0.0001836331,0.0001822354,0.0002338692,0.001234489,0.001301975,0.0008721257,0.0005841408,0.0003422011,0.001599375],"category_scores_gemma":[0.000652805,0.0002028134,0.0003137205,0.002831217,0.0006248429,0.0001993676,0.0004967677,0.0002927978,0.0002035977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008496118,"about_ca_system_score_gemma":0.006117114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820452,"about_ca_topic_score_gemma":0.9868469,"domain_scores_codex":[0.9996998,0.00002342276,0.00001106165,0.00008720882,0.00007645763,0.0001020227],"domain_scores_gemma":[0.9990543,0.00008347991,0.000139494,0.00003652337,0.0005355091,0.000150862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001813696,0.00001945793,0.987639,0.00001900731,0.0001163989,0.0000813014,0.0007841705,0.0003823915,0.005836421,0.0001573792,0.0004136586,0.004369714],"study_design_scores_gemma":[9.210306e-7,0.000005915615,0.9989432,0.000003334322,0.00001059074,0.00002541414,0.0004464989,0.0001734829,0.0001213968,0.00001169012,0.0002541343,0.000003565272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974635,0.0001908741,0.0001112758,0.00006272865,0.000003488691,0.000005774413,0.001128904,0.00001025027,0.001023162],"genre_scores_gemma":[0.9981,0.0001149389,0.000136365,0.00001878091,0.000001589723,0.000004272424,0.0004995613,0.000005220644,0.001119228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01795477,"threshold_uncertainty_score":0.06164396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065228627589224,"score_gpt":0.2246939251725729,"score_spread":0.2140416388966807,"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."}}