{"id":"W2843836565","doi":"10.3390/ani8070114","title":"A Description of Laying Hen Husbandry and Management Practices in Canada","year":2018,"lang":"en","type":"article","venue":"Animals","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Mitacs; Egg Farmers of Canada","keywords":"Flock; Biosecurity; Animal husbandry; Deep litter; Cage; Laying; Litter; Agricultural science; Animal welfare; Business; Manure; Animal health; Welfare; Feather pecking; Management system; Animal science; Operations management; Veterinary medicine; Biology; Engineering; Ecology; Medicine; Pecking order; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003940432,0.0003646288,0.0001979376,0.002520912,0.002713202,0.0008426147,0.0007421616,0.0001907524,0.004183849],"category_scores_gemma":[0.0008382286,0.0002037278,0.0002854044,0.005643484,0.0005046208,0.0002448245,0.0004528873,0.0003554154,0.0004632174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02661631,"about_ca_system_score_gemma":0.02985893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913841,"about_ca_topic_score_gemma":0.9968967,"domain_scores_codex":[0.9993956,0.00004466079,0.00004490294,0.000078133,0.0002417076,0.0001949258],"domain_scores_gemma":[0.9984976,0.0001045588,0.0001921085,0.00003149447,0.0008089738,0.0003653191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002223491,0.0001643611,0.7490939,0.001058457,0.00007953995,0.001560624,0.01290688,0.001432323,0.01057002,0.001755264,0.0221094,0.1990467],"study_design_scores_gemma":[0.000003004598,0.00004371032,0.9605737,0.0001497222,0.00001093633,0.0002535688,0.004612598,0.0002758899,0.0002533409,0.00004968233,0.03374595,0.00002801198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145153,0.007489034,0.002576516,0.001143656,0.00007276153,0.0003395489,0.03007981,0.0002196173,0.04356387],"genre_scores_gemma":[0.9410529,0.01082761,0.008910355,0.0004688004,0.00001695211,0.0001807255,0.01456799,0.00007990816,0.02389477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02661631,"threshold_uncertainty_score":0.1931158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05925316856685476,"score_gpt":0.2497314634142488,"score_spread":0.1904782948473941,"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."}}