{"id":"W142949918","doi":"10.1023/a:1022506927708","title":"Biomarker Responses in Nesting, Common Eiders in the Canadian Arctic in Relation to Tissue Cadmium, Mercury and Selenium Concentrations","year":2003,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cadmium; Selenium; Retinol; Mercury (programming language); Chemistry; Corticosterone; Endocrinology; Internal medicine; Glycogen; Vitamin; Animal science; Biology; Physiology; Hormone; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007046955,0.00007931017,0.0001117032,0.0001380914,0.0001179594,0.00001719442,0.00006661533,0.0000762862,0.0003205806],"category_scores_gemma":[0.0006456696,0.00007015012,0.000006954063,0.0004345175,0.000128692,0.0001017695,0.0000171986,0.0001345539,0.00005361934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828142,"about_ca_system_score_gemma":0.00006958008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1134395,"about_ca_topic_score_gemma":0.9654011,"domain_scores_codex":[0.9988089,0.0004722646,0.0002067421,0.0001648589,0.00007470537,0.0002725309],"domain_scores_gemma":[0.9994461,0.0003301098,0.00003488934,0.00009695654,0.000004445058,0.00008747562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009276906,0.00002148183,0.9910476,0.000001780813,0.000001299615,0.00001575949,0.004222558,0.0001744138,0.0031617,0.000515583,0.0004857216,0.0003428721],"study_design_scores_gemma":[0.0002305515,0.00004861141,0.9885621,0.000007445036,0.000002396498,0.00002069562,0.0007357295,0.00005901896,0.0003547438,0.000458503,0.009441703,0.00007851358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872535,0.0000619842,0.000002859871,0.005483618,0.00007383421,0.0004352528,0.00000279878,0.000004357426,0.006681746],"genre_scores_gemma":[0.9979317,0.00001494913,0.0001162531,0.001734726,0.000004036476,0.00006316524,0.000002837276,0.000004323262,0.0001280115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8519616,"threshold_uncertainty_score":0.8924642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011304674739046,"score_gpt":0.2994097226288994,"score_spread":0.2692966758815089,"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."}}