{"id":"W2909997559","doi":"10.15414/afz.2018.21.04.138-141","title":"Enrichment of table eggs with selenium and lutein – our experiences","year":2018,"lang":"en","type":"article","venue":"Acta fytotechnica et zootechnica/Acta fytotechnica  et zootechnica","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lutein; Selenium; Yolk; Food science; Carotenoid; Antioxidant; Biology; Chemistry; Animal science; Botany; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001570983,0.000441014,0.0003415374,0.000414048,0.0009448621,0.001436529,0.0008996367,0.0007199363,0.003027282],"category_scores_gemma":[0.001370746,0.0001636434,0.0004380999,0.000483413,0.0007988243,0.001519079,0.001446371,0.0009159043,0.00106845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576593,"about_ca_system_score_gemma":0.000530182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837215,"about_ca_topic_score_gemma":0.003306136,"domain_scores_codex":[0.9990964,0.0003263901,0.00004599238,0.0001441965,0.0002782698,0.000108811],"domain_scores_gemma":[0.9994391,0.0001333898,0.00004379654,0.00006268451,0.0001991259,0.0001219383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002090853,0.004496914,0.02483904,0.003541035,0.0003067942,0.00794531,0.03021927,0.001035474,0.278411,0.006429011,0.01369807,0.6269873],"study_design_scores_gemma":[0.00006945974,0.006284205,0.03687554,0.0007229386,0.0002081064,0.01171317,0.03278311,0.000726875,0.2520723,0.003347471,0.6549779,0.0002188659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900082,0.054789,0.00922101,0.004613316,0.0005350044,0.0002075897,0.0003715755,0.0001487498,0.04010547],"genre_scores_gemma":[0.8511046,0.06531335,0.03006213,0.002529972,0.0004009468,0.0000964252,0.000765223,0.0001561808,0.04957109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003027282,"threshold_uncertainty_score":0.01012731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751820714168146,"score_gpt":0.2999822300904789,"score_spread":0.2824640229487975,"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."}}