{"id":"W2156114989","doi":"10.1006/enrs.2000.4077","title":"Distribution of Inorganic and Methylmercury among Tissues in Mink (Mustela vison) and Otter (Lutra canadensis)","year":2000,"lang":"en","type":"article","venue":"Environmental Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Mink; Lutra; Otter; Methylmercury; Mercury (programming language); Mustelidae; American mink; Biology; Environmental chemistry; Animal science; Chemistry; Zoology; Ecology; Bioaccumulation","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004958243,0.000109896,0.0001539881,0.00004668878,0.000129987,0.00001813906,0.0000878136,0.0000646174,0.005273873],"category_scores_gemma":[0.00003222968,0.0001018779,0.00001620847,0.0001720109,0.001004239,0.000217607,0.0001777773,0.0002084451,0.0001283622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796712,"about_ca_system_score_gemma":0.000004937463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307596,"about_ca_topic_score_gemma":0.001142928,"domain_scores_codex":[0.9985818,0.0001613574,0.0001967377,0.0002739218,0.0004522814,0.0003339583],"domain_scores_gemma":[0.999578,0.0001110506,0.00002533186,0.0001414132,0.000001591775,0.0001425882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002617507,0.00007768966,0.8957011,0.00001304697,0.00001110155,0.00001732122,0.00196831,0.000007568161,0.0218288,0.000008147843,0.0008615354,0.07947923],"study_design_scores_gemma":[0.0002582681,0.00007609412,0.9878008,0.00001441624,0.000005084601,0.000008911123,0.0009026482,0.00004344603,0.00668451,0.0001629058,0.003940514,0.0001023865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971964,0.000562471,0.000002092644,0.0002378709,0.0000101096,0.0002147711,0.00003188748,0.000004475965,0.001739916],"genre_scores_gemma":[0.99706,0.00134112,0.00003188403,0.00003010181,0.00001197972,0.0000200669,0.00001832823,0.000009360494,0.001477136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09209975,"threshold_uncertainty_score":0.9956354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156282457841444,"score_gpt":0.2977139322788387,"score_spread":0.2761511077004242,"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."}}