{"id":"W2054174301","doi":"10.1007/s10646-007-0170-0","title":"Relationships among mercury, selenium, and neurochemical parameters in common loons (Gavia immer) and bald eagles (Haliaeetus leucocephalus)","year":2007,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Mercury (programming language); Selenium; Neurochemical; Bald eagle; Mercury poisoning; Ecotoxicology; Zoology; Biology; Fishery; Ecology; Medicine; Chemistry; Internal medicine; Endocrinology; Toxicity; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002327175,0.0002763336,0.00022895,0.0005587424,0.0003284966,0.0004544361,0.0002102354,0.0004443708,0.0009137074],"category_scores_gemma":[0.0004634185,0.0002562306,0.000137959,0.0002594698,0.0004987068,0.0003907463,0.0002386771,0.0004320028,0.0001685062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005423176,"about_ca_system_score_gemma":0.0002811883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284779,"about_ca_topic_score_gemma":0.02674891,"domain_scores_codex":[0.9998846,0.00002237039,0.00001110259,0.00003862574,0.00001655719,0.00002673226],"domain_scores_gemma":[0.9995267,0.00008404601,0.0001215011,0.00002717009,0.00007914842,0.0001613907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009348391,0.0006859989,0.813369,0.00006898667,0.0003717634,0.0008398413,0.001395675,0.0003367552,0.1674724,0.0001199425,0.0002577479,0.005733627],"study_design_scores_gemma":[0.00002824957,0.001615023,0.9903911,0.00000288462,0.00007499885,0.0003077775,0.0007326196,0.000302299,0.006239203,0.0000592973,0.000235461,0.00001109394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999798,0.0000485895,0.00001432463,0.000009636474,0.000001220431,0.000001455873,0.00004055088,0.000001280468,0.0000851451],"genre_scores_gemma":[0.9988612,0.00005901058,0.00006656502,0.0000297406,0.000001553383,0.000007862248,0.0001847098,0.000001866743,0.0007875701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01284779,"threshold_uncertainty_score":0.02554601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600497458952376,"score_gpt":0.2657940455155665,"score_spread":0.2397890709260428,"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."}}