{"id":"W1964400479","doi":"10.1080/00039890109604483","title":"Tissue Level, Distribution and Total Body Selenium Content in Healthy and Diseased Humans in Poland","year":2001,"lang":"en","type":"article","venue":"Archives of Environmental Health An International Journal","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selenium; Spleen; Kidney; Autopsy; Selenium deficiency; Skeleton (computer programming); Physiology; Tissue distribution; Skeletal muscle; Internal medicine; Biology; Endocrinology; Chemistry; Medicine; Anatomy; Oxidative stress","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":[0.0001892673,0.0002225124,0.00024498,0.001108466,0.0003104826,0.0003458158,0.0001097236,0.0002502319,0.0006275298],"category_scores_gemma":[0.0004011721,0.000311882,0.0001390221,0.0005063422,0.0004150037,0.0002070661,0.0003264289,0.000154503,0.0001968064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886024,"about_ca_system_score_gemma":0.00008552329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00242763,"about_ca_topic_score_gemma":0.002124649,"domain_scores_codex":[0.9998651,0.00001874567,0.0000214307,0.00004914723,0.00002343059,0.00002208655],"domain_scores_gemma":[0.9998868,0.00001739044,0.00003916475,0.0000151899,0.00001783149,0.00002357743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00176139,0.00009638057,0.9461752,0.00007259129,0.000121399,0.0009377013,0.0008668294,0.0001527037,0.03828315,0.00008579503,0.0001052874,0.01134163],"study_design_scores_gemma":[0.00001942388,0.000557095,0.9937343,0.000005830732,0.000049045,0.001566102,0.000416908,0.0001568345,0.00270414,0.00006751578,0.0007172169,0.000005694365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993228,0.0002292974,0.00008824746,0.00000891124,0.000001139745,0.000003536114,0.00009759461,0.000003932864,0.0002445781],"genre_scores_gemma":[0.9992713,0.0001903057,0.0001524427,0.00001422436,0.000001338409,0.000002920575,0.0001202322,0.000001673625,0.0002454741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00242763,"threshold_uncertainty_score":0.004827023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467305242411486,"score_gpt":0.3133254683251233,"score_spread":0.2786524159010084,"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."}}