{"id":"W6929142387","doi":"10.4224/crm.2015.cors-1","title":"CORS-1: Corn Starch Reference Material for Trace Metals and other Constituents","year":2015,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"TRACE (psycholinguistics); Trace element; Trace metal; Corn starch; Starch; Cadmium","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":[0.002303923,0.00163155,0.0008627273,0.009400433,0.000769877,0.001725659,0.002447053,0.001138674,0.08856001],"category_scores_gemma":[0.006045891,0.0005281156,0.0005605152,0.008605709,0.0003789129,0.001694932,0.001353944,0.0009627963,0.06137851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008571367,"about_ca_system_score_gemma":0.002200639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158855,"about_ca_topic_score_gemma":0.009215459,"domain_scores_codex":[0.9980234,0.0002086972,0.0002056987,0.0002617986,0.001202571,0.00009779583],"domain_scores_gemma":[0.9970432,0.0002984579,0.0003500002,0.0003933721,0.00174729,0.0001676169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009336794,0.0002303723,0.002869256,0.002987452,0.00005991803,0.0004111284,0.0001952983,0.0004776282,0.03110251,0.01265426,0.5839946,0.3640839],"study_design_scores_gemma":[0.00003884745,0.0001074733,0.004115966,0.0004197706,0.00002866867,0.000249281,0.00007465639,0.0002511324,0.01732234,0.001937607,0.9754122,0.00004192627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03141244,0.01947028,0.0420938,0.001563246,0.004129959,0.001137389,0.4462818,0.01165311,0.442258],"genre_scores_gemma":[0.05843945,0.01363439,0.0564234,0.0006074973,0.0003569416,0.0009240714,0.5907251,0.005295748,0.2735934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08856001,"threshold_uncertainty_score":0.2962627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06277795676659931,"score_gpt":0.3483965254290692,"score_spread":0.2856185686624699,"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."}}