{"id":"W6921960812","doi":"10.1021/es501369b.s001","title":"Molecular\\nand Neurochemical Biomarkers in Arctic Beluga\\nWhales (&lt;i&gt;Delphinapterus leucas&lt;/i&gt;) Were Correlated to\\nBrain Mercury and Selenium Concentrations.","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beluga Whale; Beluga; Neurochemical; Mercury (programming language); Methylmercury; Selenium; Cerebellum","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009946685,0.0002526621,0.0001230853,0.000648436,0.0003217079,0.0003869651,0.000132762,0.0002368151,0.0008135813],"category_scores_gemma":[0.000160324,0.0001813641,0.0001346097,0.0002678848,0.0003913241,0.0001718713,0.0001921287,0.0002267189,0.0001847946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000574647,"about_ca_system_score_gemma":0.0002526115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06018462,"about_ca_topic_score_gemma":0.1873557,"domain_scores_codex":[0.9999273,0.000004177849,0.000004037492,0.00003544182,0.00001481411,0.00001430559],"domain_scores_gemma":[0.9998676,0.000007777879,0.0000561765,0.000005651333,0.00003546648,0.00002736453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006183109,0.0001027143,0.7247104,0.000128491,0.000189111,0.000378936,0.0009088317,0.0001764007,0.2588418,0.0001157291,0.000306188,0.01352303],"study_design_scores_gemma":[0.000001897117,0.0001074975,0.9963554,0.000003546465,0.00001994684,0.0001200199,0.0002001845,0.00006469923,0.002714547,0.00001867882,0.0003894514,0.000004222752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986052,0.0002755087,0.0001657346,0.00001687694,0.000003746531,0.000005838712,0.0003507535,0.000006758662,0.0005696784],"genre_scores_gemma":[0.9958051,0.0003871594,0.0005880964,0.00006224924,0.000004161797,0.00001871717,0.0008622396,0.000004661396,0.002267513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06018462,"threshold_uncertainty_score":0.1196686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850539741174436,"score_gpt":0.2078682724773942,"score_spread":0.1793628750656498,"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."}}