{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007311016,0.00007069559,0.000180259,0.000004096279,0.00003470781,0.00001749919,0.00004828622,0.00005446058,0.0001540711],"category_scores_gemma":[0.00002108192,0.00002697225,0.00004447168,0.0001418957,0.00002890403,0.00002753426,0.00003233844,0.00006343756,0.000004719509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554954,"about_ca_system_score_gemma":0.000005205185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340422,"about_ca_topic_score_gemma":0.0002397545,"domain_scores_codex":[0.9993502,0.0001336556,0.000153753,0.000157873,0.0000688186,0.000135668],"domain_scores_gemma":[0.9997076,0.0001280851,0.00004960609,0.00003490338,0.00003294459,0.00004681309],"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":[0.00008041592,0.0002245426,0.1682962,0.00002048176,0.000006979781,0.000002187483,0.00004356046,0.00001538806,0.8289673,0.0005855883,0.00009490264,0.001662502],"study_design_scores_gemma":[0.0001638959,0.0007289154,0.994014,0.00004298681,0.00000203118,0.000002034638,0.0002123029,0.0001211047,0.004125169,0.0004117202,0.0001008249,0.00007501178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988233,0.0002810617,7.323024e-7,0.00008497856,0.00003870578,0.00006092447,0.00003610519,0.00001000122,0.0006641165],"genre_scores_gemma":[0.9997679,0.00005284676,0.00000635998,0.0000517059,0.00004153838,0.000002836318,0.00001414732,4.684303e-7,0.00006219459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8257179,"threshold_uncertainty_score":0.2026327,"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."}}