{"id":"W2060138137","doi":"10.1007/s00244-003-0237-8","title":"Mercury Residues in Livers of Bald Eagles ( Haliaeetus leucocephalus ) Found Dead or Dying in British Columbia, Canada (1987?1994)","year":2003,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bald eagle; Eagle; Mercury (programming language); Electrocution; Methylmercury; Mercury poisoning; Fishery; Animal science; Wet weight; Veterinary medicine; Toxicology; Biology; Chemistry; Toxicity; Environmental chemistry; Ecology; Medicine; Internal medicine; Bioaccumulation; Endocrinology","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":[0.00008449484,0.000399428,0.0002374287,0.0008720878,0.00116529,0.0006013428,0.0003446217,0.0004673572,0.000837779],"category_scores_gemma":[0.0002595831,0.0003240695,0.0001692198,0.0005334138,0.0006528872,0.0001567419,0.000267443,0.0004236615,0.0003587691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103557,"about_ca_system_score_gemma":0.001316361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6473177,"about_ca_topic_score_gemma":0.8241474,"domain_scores_codex":[0.9998916,0.000004058131,0.000006351755,0.0000217845,0.00003289578,0.00004324481],"domain_scores_gemma":[0.9996895,0.00001739753,0.00006348245,0.00001099702,0.0001383096,0.0000803377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005222244,0.0001359524,0.8295953,0.0001680253,0.0001568537,0.002857121,0.002516512,0.0003121675,0.1461116,0.00006212782,0.0009124577,0.01194968],"study_design_scores_gemma":[0.000006615219,0.0001314829,0.9917869,0.00000771313,0.00004308809,0.0004304252,0.0008956531,0.00005954731,0.006181073,0.000009775279,0.0004401272,0.000007482662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984817,0.0002062092,0.00003541381,0.00001917847,0.00000487813,0.00000466525,0.0005413411,0.000005729847,0.000700874],"genre_scores_gemma":[0.9953753,0.0002547436,0.0001293169,0.00004116516,0.000002038118,0.000003625142,0.0007166523,0.000004506195,0.00347273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3526823,"threshold_uncertainty_score":0.7095186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098867671209967,"score_gpt":0.2194831766222784,"score_spread":0.2084944999101787,"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."}}