{"id":"W2563191990","doi":"10.1016/j.applanim.2016.12.005","title":"Aggression and social rank fluctuations in precision-fed and skip-a-day-fed broiler breeder pullets","year":2016,"lang":"en","type":"article","venue":"Applied Animal Behaviour Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates Bio Solutions; Alberta Livestock and Meat Agency; Poultry Industry Council","keywords":"Aggression; Animal science; Broiler; Animal-assisted therapy; Agonistic behaviour; Rank (graph theory); Competition (biology); HUBzero; Biology; Mathematics; Psychology; Pet therapy; Animal welfare; Ecology; Developmental psychology; Combinatorics","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":[0.000385837,0.0001464412,0.0001788688,0.00004085308,0.0005695364,0.00008722572,0.0002334282,0.0001081787,0.0002388994],"category_scores_gemma":[0.00004131198,0.0000559779,0.00002969155,0.0003821115,0.000681488,0.0002271631,0.0001926618,0.0001025532,0.00002890911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141126,"about_ca_system_score_gemma":0.00001606272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006956988,"about_ca_topic_score_gemma":0.0001094946,"domain_scores_codex":[0.998582,0.00004507646,0.000211568,0.0005358283,0.000269568,0.0003559263],"domain_scores_gemma":[0.9995041,0.0001812369,0.00008108444,0.00004431612,0.00006548599,0.0001237578],"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":[0.0001207981,0.00006515145,0.04261255,0.000001292657,7.354715e-7,0.000001747332,0.0001046238,1.857773e-8,0.9305709,0.00281205,0.0001346447,0.02357547],"study_design_scores_gemma":[0.0004337566,0.0002190265,0.9951394,0.00002970111,0.000004482702,0.00000629053,0.0001314625,0.00001270949,0.002239042,0.001316763,0.0002931079,0.0001742484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969878,0.00005457271,0.000005541493,0.002334227,0.00003642305,0.0002187995,0.00002427615,0.00003697501,0.0003013556],"genre_scores_gemma":[0.999374,0.00006890273,0.0001090628,0.0002789514,0.00008045005,0.00003009298,0.000007172559,0.000001309896,0.0000500102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9525269,"threshold_uncertainty_score":0.4380471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809571933767047,"score_gpt":0.2474134981587959,"score_spread":0.2293177788211254,"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."}}