{"id":"W3046438238","doi":"10.3389/fgene.2020.00793","title":"Large-Scale Phenotyping of Livestock Welfare in Commercial Production Systems: A New Frontier in Animal Breeding","year":2020,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; National Institute of Food and Agriculture; Purdue University; U.S. Department of Agriculture","keywords":"Livestock; Animal welfare; Selection (genetic algorithm); Biotechnology; Production (economics); Biology; Selective breeding; Welfare; Genetic gain; Animal breeding; Computer science; Ecology; Genetics; Genetic variation; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00152532,0.0003637794,0.00104754,0.001240659,0.0001862627,0.001074995,0.0005947009,0.0004570843,0.0004804549],"category_scores_gemma":[0.000863176,0.0001372635,0.0003755336,0.001616306,0.0005737213,0.001148218,0.0004493857,0.0007805672,0.0002393206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982138,"about_ca_system_score_gemma":0.0006538894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067449,"about_ca_topic_score_gemma":0.001653753,"domain_scores_codex":[0.9995061,0.0001289726,0.00005288246,0.0001212273,0.0001660162,0.00002480509],"domain_scores_gemma":[0.9989824,0.000410679,0.0002234446,0.00005507473,0.0002737108,0.00005482142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009781396,0.00007164322,0.01296399,0.009435847,0.0002229902,0.0002837016,0.0002937674,0.001206863,0.08464038,0.005042668,0.006454482,0.8792859],"study_design_scores_gemma":[0.0000243411,0.00124517,0.2458776,0.003726061,0.0007765149,0.002828933,0.001002613,0.002938907,0.03091363,0.0130619,0.6973688,0.0002355724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03127804,0.9223256,0.03717246,0.002373144,0.0005946234,0.00007878511,0.0009696849,0.0001621066,0.005045609],"genre_scores_gemma":[0.08712076,0.8663562,0.04076181,0.001338016,0.0008204415,0.0001476863,0.001363947,0.00004687665,0.002044287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00152532,"threshold_uncertainty_score":0.008066773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07877959132883414,"score_gpt":0.3410208087337696,"score_spread":0.2622412174049354,"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."}}