{"id":"W3211188504","doi":"10.3390/foods10112559","title":"Impact of Different Layer Housing Systems on Eggshell Cuticle Quality and Salmonella Adherence in Table Eggs","year":2021,"lang":"en","type":"article","venue":"Foods","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnbrae Farms (Canada); University of Ottawa","funders":"Egg Farmers of Canada","keywords":"Eggshell; Table (database); Salmonella; Layer (electronics); Quality (philosophy); Cuticle (hair); Biology; Food science; Toxicology; Chemistry; Ecology; Materials science; Anatomy; Nanotechnology; Computer science; Data mining; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001857969,0.0003155503,0.0002126524,0.0002303801,0.0001857452,0.0005176542,0.0001369828,0.0001602264,0.001144808],"category_scores_gemma":[0.000531533,0.0001559394,0.0002504089,0.0001333429,0.0002924541,0.0002421257,0.0002900475,0.0002770178,0.000102538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183293,"about_ca_system_score_gemma":0.0002037067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002542139,"about_ca_topic_score_gemma":0.006423554,"domain_scores_codex":[0.9997273,0.00005208126,0.00002327371,0.00007764883,0.00006434025,0.00005530671],"domain_scores_gemma":[0.9995257,0.00008472417,0.0001877491,0.00002825956,0.00005773082,0.0001157693],"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":[0.005380591,0.0009102242,0.1132447,0.0002393895,0.0002134892,0.000290445,0.0004812574,0.0005199633,0.868357,0.00006429736,0.0001080549,0.01019068],"study_design_scores_gemma":[0.00002113183,0.006434807,0.9078671,0.00002517927,0.0001479521,0.0001602215,0.0006306207,0.0006117285,0.08356875,0.00003652754,0.000473639,0.00002240435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997405,0.00006201547,0.00006131858,0.000003674664,0.000002035784,0.000004074755,0.00004013007,0.00000203743,0.00008430878],"genre_scores_gemma":[0.9990758,0.00007001615,0.0003646336,0.00001283303,0.000001657362,0.000008169507,0.0001198065,0.00000351518,0.0003434339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002542139,"threshold_uncertainty_score":0.005054653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0904305352184952,"score_gpt":0.3438002857323033,"score_spread":0.2533697505138081,"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."}}