{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002352806,0.0001221353,0.0002182368,0.0001256664,0.00009514063,0.00002897477,0.0001304228,0.00004313881,0.00003467691],"category_scores_gemma":[0.0000280657,0.0001100863,0.00002685429,0.00002923295,0.0001702068,0.0001681849,0.00005395454,0.0002613901,0.000001271968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386214,"about_ca_system_score_gemma":0.00001781242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859911,"about_ca_topic_score_gemma":0.0002511117,"domain_scores_codex":[0.998441,0.0002523079,0.0005509919,0.0002277647,0.0002437934,0.0002840754],"domain_scores_gemma":[0.9993108,0.000123704,0.000216574,0.00006808247,0.000004555636,0.0002762756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002162596,0.0004652,0.9488423,0.0000188624,0.000008899524,0.00001259625,0.0007955335,0.00001075822,0.01204707,0.00008779964,0.000008965849,0.03553944],"study_design_scores_gemma":[0.001973993,0.001189747,0.9945931,0.0000944744,0.000002174201,0.0002768188,0.0005470506,0.0003355585,0.000184076,0.0003192535,0.000387835,0.00009596213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961107,0.0007238396,0.000139147,0.002208045,0.0002998993,0.0002309721,0.0002398168,0.000005430673,0.00004209061],"genre_scores_gemma":[0.9983506,0.0008017166,0.0001896701,0.0003315316,0.0001614062,0.000005659146,0.0001387334,0.000008406759,0.00001224062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04575078,"threshold_uncertainty_score":0.4489188,"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."}}