{"id":"W2322966609","doi":"10.1021/es5036249","title":"Changes in Food Web Structure Alter Trends of Mercury Uptake at Two Seabird Colonies in the Canadian Arctic","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Carleton University; Environment and Climate Change Canada","funders":"Aboriginal Affairs and Northern Development Canada; Environment Canada","keywords":"Seabird; Arctic; Trophic level; Bay; Mercury (programming language); Biomagnification; Food web; Ecology; Environmental science; The arctic; Ecosystem; Climate change; Fishery; Geography; Biology; Oceanography; Predation","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":[0.0002610407,0.0002570692,0.0002588545,0.00103019,0.001328609,0.0006282568,0.000399211,0.0002421996,0.0007580366],"category_scores_gemma":[0.0007167124,0.0002259765,0.0002400896,0.0007916511,0.0005691946,0.0001574634,0.0004419209,0.0002623824,0.0001025664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005288566,"about_ca_system_score_gemma":0.002450259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9038735,"about_ca_topic_score_gemma":0.9762648,"domain_scores_codex":[0.9997665,0.00002495629,0.000006895322,0.00004999497,0.00006454103,0.00008704903],"domain_scores_gemma":[0.9992055,0.00005560811,0.0001444841,0.00003149289,0.0003144314,0.0002484735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002233877,0.00003240354,0.9862607,0.00001439158,0.00007987361,0.00009733286,0.001242758,0.0001119509,0.007689103,0.0000290525,0.0001577498,0.004061264],"study_design_scores_gemma":[5.421636e-7,0.000007466971,0.9995731,8.943815e-7,0.00000399602,0.000007772564,0.0002535477,0.00002881854,0.00006351055,0.000001295352,0.00005772816,0.000001441584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995907,0.00004427271,0.00002004903,0.00001171523,9.470189e-7,0.000002226846,0.0001001157,0.000001902605,0.0002280483],"genre_scores_gemma":[0.9992985,0.00005449213,0.0001078159,0.00001353377,6.550414e-7,0.000003590373,0.0001929233,0.00000212197,0.0003264213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0961265,"threshold_uncertainty_score":0.1933852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009706776144326107,"score_gpt":0.2344951304102694,"score_spread":0.2247883542659433,"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."}}