{"id":"W2018528101","doi":"10.1002/jat.1512","title":"Urinary levels, tissue concentrations and lung inflammation after nose‐only exposure to three different chemical forms of beryllium","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Toxicology","topic":"Sarcoidosis and Beryllium Toxicity Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; McGill University; Université du Québec à Montréal; Christie (Canada); Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Urine; Chemistry; Toxicokinetics; Toxicity; Excretion; Urinary system; Lung; Inhalation; Toxicology; Animal science; Physiology; Internal medicine; Medicine; Anesthesia; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001459422,0.0003583859,0.0003850899,0.0002951293,0.0001479353,0.0002769127,0.000136024,0.0005384163,0.0008362744],"category_scores_gemma":[0.0002115817,0.0001653424,0.0002615382,0.0001247666,0.0002432224,0.0002775836,0.0001922853,0.0003704945,0.0001331186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405578,"about_ca_system_score_gemma":0.0001119095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784767,"about_ca_topic_score_gemma":0.0006473384,"domain_scores_codex":[0.9998392,0.00002658994,0.000007849065,0.00004394924,0.00005133411,0.00003102962],"domain_scores_gemma":[0.9998155,0.00002236099,0.00006408858,0.00001720081,0.00003657505,0.00004419799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001204609,0.0001008184,0.005262744,0.00005485094,0.00002763054,0.00008452068,0.00004917426,0.00007068449,0.9901261,0.00001981158,0.00002627108,0.002972734],"study_design_scores_gemma":[0.00004049605,0.01289214,0.1070967,0.00001530375,0.0001269977,0.0008453736,0.0002633537,0.0006555241,0.8763339,0.0001087151,0.001601797,0.0000196585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982246,0.000541058,0.0007796371,0.00002468626,0.00001067923,0.00001543719,0.0000895875,0.00002322975,0.0002910169],"genre_scores_gemma":[0.9951862,0.0006011134,0.001071037,0.0000676346,0.000009137249,0.00002809997,0.0002617888,0.00001519208,0.002759764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008362744,"threshold_uncertainty_score":0.002797663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527856701815123,"score_gpt":0.2971532530548527,"score_spread":0.2818746860367015,"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."}}