{"id":"W6891587696","doi":"10.4224/crm.2010.selm-1","title":"SELM-1: Selenium enriched yeast certified reference material","year":2010,"lang":"en","type":"other","venue":"","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Selenium; Yeast; Certified reference materials; Methionine; National standard","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002698126,0.002675958,0.001233374,0.006032627,0.001110345,0.001342141,0.004858964,0.001592103,0.03891086],"category_scores_gemma":[0.003518843,0.0008372248,0.0007365549,0.003349168,0.0006639317,0.0009416317,0.00143542,0.001308061,0.05763312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068312,"about_ca_system_score_gemma":0.002263257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363753,"about_ca_topic_score_gemma":0.009029307,"domain_scores_codex":[0.9962355,0.0004033561,0.0001677289,0.0006353451,0.002368782,0.0001892498],"domain_scores_gemma":[0.998341,0.00009852955,0.0001298964,0.0002395585,0.001106207,0.00008487883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009407069,0.0006671146,0.002279268,0.002361917,0.0001175282,0.0006989874,0.000202193,0.001128573,0.6248644,0.007755254,0.1610984,0.1978857],"study_design_scores_gemma":[0.0001058868,0.0003187894,0.003007866,0.0002284431,0.00008079113,0.0008156083,0.00008181647,0.00148917,0.4688925,0.001171401,0.5237249,0.00008278067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.09643543,0.01286144,0.3492299,0.001773985,0.001727094,0.004755833,0.192956,0.04547857,0.2947818],"genre_scores_gemma":[0.09332135,0.009853831,0.2560527,0.001216612,0.0002653426,0.002773351,0.2934696,0.008060772,0.3349865],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03891086,"threshold_uncertainty_score":0.1301698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388663387329692,"score_gpt":0.2841578645036496,"score_spread":0.2502712306303527,"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."}}