{"id":"W6966558008","doi":"10.4224/crm.2015.eggs-1","title":"EGGS-1: Egg Powder Reference Material for Trace Metals and other Constituents","year":2015,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"TRACE (psycholinguistics); Trace metal; Reference data; Trace element; Reference values; Cadmium","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":[0.001416714,0.001508979,0.0007644158,0.007131024,0.001554607,0.001386798,0.003410689,0.0009922311,0.08594797],"category_scores_gemma":[0.003035153,0.0006378687,0.0004742508,0.004925686,0.0005323112,0.001395778,0.001510207,0.0007284773,0.06223787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182159,"about_ca_system_score_gemma":0.003712974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06588335,"about_ca_topic_score_gemma":0.1253208,"domain_scores_codex":[0.9973961,0.0001259211,0.0001116272,0.0002892522,0.001959261,0.0001178155],"domain_scores_gemma":[0.9976714,0.0001197286,0.0001278226,0.0002273806,0.001760824,0.00009286946],"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":[0.000746854,0.000208645,0.002881262,0.002632204,0.00006070172,0.0004293686,0.0003273693,0.0004978364,0.1209538,0.009392006,0.6701151,0.1917547],"study_design_scores_gemma":[0.0000351103,0.00006697619,0.004576892,0.0002848762,0.00003332217,0.0002324121,0.00009827106,0.0001996419,0.05319197,0.0007161406,0.9405321,0.00003233896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03010474,0.0102225,0.03803769,0.00100439,0.0008608765,0.00174132,0.4817381,0.007624059,0.4286664],"genre_scores_gemma":[0.05266954,0.01046649,0.04012417,0.0004774932,0.0001318463,0.0009080811,0.5541857,0.004336486,0.3367002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08594797,"threshold_uncertainty_score":0.2875246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213349123936229,"score_gpt":0.2878932826887652,"score_spread":0.255759791449403,"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."}}