{"id":"W2998761331","doi":"10.1016/j.livsci.2020.103917","title":"Comparison of egg production, quality and composition in three production systems for laying hens","year":2020,"lang":"en","type":"article","venue":"Livestock Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut de Recherche et de Développement en Agroenvironnement","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Haugh unit; Animal science; Laying; Cage; Yolk; Deep litter; Feather pecking; Eggshell; Feed conversion ratio; Litter; Biology; Feather; Veterinary medicine; Body weight; Food science; Mathematics; Ecology; Medicine","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":[0.0002813761,0.00005560468,0.0001521594,0.00001174649,0.0001864476,0.00002044328,0.0001065411,0.00002706687,0.000002879566],"category_scores_gemma":[0.0001298014,0.00002634321,0.00001782517,0.0004133024,0.0002460146,0.0001764892,0.00003189281,0.00005198365,0.000001215691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001155338,"about_ca_system_score_gemma":0.000007521092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009260341,"about_ca_topic_score_gemma":0.00002585369,"domain_scores_codex":[0.9991957,0.00004335729,0.0002117444,0.000301613,0.0001232592,0.0001243551],"domain_scores_gemma":[0.9996392,0.00005495749,0.0001114476,0.00002812746,0.0001113215,0.00005493429],"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":[0.00005569105,0.00005809999,0.1102108,0.00004019719,7.26858e-7,2.674996e-8,0.0002567513,0.0001264153,0.886412,0.002070742,0.0000635468,0.000705032],"study_design_scores_gemma":[0.00007534412,0.000503081,0.9903509,0.00003285478,0.000002483713,0.000001733015,0.001310415,0.001205743,0.00552907,0.0007107379,0.0001932597,0.00008435938],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994374,0.0001564982,0.0000612525,0.004798328,0.0001239273,0.0004269845,0.000006095564,0.00002092828,0.00003196392],"genre_scores_gemma":[0.9995103,0.000009263304,0.0002132424,0.00008201396,0.0001524457,0.00002057341,0.000007204886,3.169843e-7,0.000004607778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.880883,"threshold_uncertainty_score":0.1434023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483668022501622,"score_gpt":0.3452092968582258,"score_spread":0.1968424946080636,"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."}}