{"id":"W4381469299","doi":"10.1002/etc.5703","title":"Analysis of Selenium in Fish Tissue: An Interlaboratory Study on Weight Constraints","year":2023,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada); Golder Associates (Canada)","funders":"","keywords":"Sampling (signal processing); Selenium; Biomonitoring; Sample (material); Fish <Actinopterygii>; Environmental science; Environmental chemistry; Computer science; Biology; Chemistry; Chromatography; Fishery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01515666,0.0007224263,0.000473557,0.001155698,0.001332464,0.0009619628,0.0009245053,0.0007498697,0.0009511231],"category_scores_gemma":[0.01971661,0.000381392,0.0006349292,0.001307049,0.001770001,0.0005163085,0.002120514,0.0005709918,0.0003443381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001594,"about_ca_system_score_gemma":0.001343365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005759389,"about_ca_topic_score_gemma":0.009772061,"domain_scores_codex":[0.9837531,0.00655493,0.001279752,0.003636905,0.004253952,0.000521354],"domain_scores_gemma":[0.9799724,0.00813348,0.003104632,0.003756827,0.004498261,0.0005343804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0043357,0.001749294,0.462144,0.000306123,0.0007540182,0.0005329857,0.006344316,0.001800766,0.4758535,0.000562071,0.0004607076,0.04515652],"study_design_scores_gemma":[0.0001733078,0.01610057,0.6912077,0.00007923298,0.0007634349,0.001392939,0.003148262,0.004256628,0.2742383,0.0007506605,0.007732761,0.0001561486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872285,0.000445743,0.009777527,0.0001039922,0.00002899887,0.0002218313,0.0001787745,0.00004659033,0.001968029],"genre_scores_gemma":[0.9889306,0.0001863278,0.008439094,0.0002264695,0.0000231382,0.0003103848,0.0005231562,0.00004980771,0.001311011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515666,"threshold_uncertainty_score":0.08015704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275862991183869,"score_gpt":0.2681354678753101,"score_spread":0.2553768379634714,"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."}}