{"id":"W4206706988","doi":"10.1186/s43170-022-00073-y","title":"Breeding for disease resilience: opportunities to manage polymicrobial challenge and improve commercial performance in the pig industry","year":2022,"lang":"en","type":"review","venue":"CABI Agriculture and Bioscience","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Ministero dello Sviluppo Economico; Swine Innovation Porc; Alberta Agriculture and Forestry; Genome Canada","keywords":"Disease; Biosecurity; Resilience (materials science); Risk analysis (engineering); Psychological resilience; Biology; Adaptation (eye); Selection (genetic algorithm); Biotechnology; Computer science; Business; Medicine; Ecology; Psychology; Artificial intelligence","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":[0.0007341198,0.0003350899,0.0005526397,0.00004588721,0.0007332674,0.0001508235,0.0007140446,0.0002188692,0.00004083902],"category_scores_gemma":[0.00008573545,0.0001059663,0.0001377523,0.0004598258,0.0002401003,0.000171533,0.0004832527,0.0004201237,0.00000167716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003900865,"about_ca_system_score_gemma":0.00002150036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005077081,"about_ca_topic_score_gemma":0.0001218656,"domain_scores_codex":[0.9981483,0.0001697506,0.0003334611,0.0006694284,0.0001984498,0.0004806163],"domain_scores_gemma":[0.9992003,0.0003238858,0.0001545627,0.00008168763,0.00001887111,0.0002206296],"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":[0.00002324513,0.00005202216,0.0003191093,0.0009244214,0.000006004823,0.00001307591,0.0001478473,1.647593e-7,0.00006062397,0.0005792909,0.002768876,0.9951053],"study_design_scores_gemma":[0.00005684466,0.0003577533,0.01991042,0.0003702347,0.0001029172,0.000007590023,0.001249647,0.000005047448,2.076179e-7,0.00002215473,0.977599,0.0003182059],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0510504,0.9366575,0.00000132265,0.007304808,0.0003889634,0.002801599,0.0006313462,0.00004889172,0.001115139],"genre_scores_gemma":[0.01698469,0.9794375,0.000008622509,0.001682618,0.000492094,0.0003849062,0.0001614669,0.000001931634,0.0008461771],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9947871,"threshold_uncertainty_score":0.5639774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436054400918532,"score_gpt":0.3003376409943622,"score_spread":0.156732200902509,"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."}}