{"id":"W2794726474","doi":"10.31274/ans_air-180814-285","title":"Selection for Increased Natural Antibody Levels to Improve Disease Resilience in Pigs","year":2018,"lang":"en","type":"report","venue":"","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; University of Alberta; University of Saskatchewan","funders":"","keywords":"Offspring; Resilience (materials science); Disease; Selection (genetic algorithm); Biology; Herd; Psychological resilience; Antibody; Natural selection; Animal science; Veterinary medicine; Immunology; Medicine; Psychology; Genetics; Pregnancy; Computer science; Internal medicine; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004846939,0.0002874537,0.0003528601,0.00005377602,0.0003458266,0.00006749091,0.0002287173,0.0001722741,0.0002739914],"category_scores_gemma":[0.001617715,0.0001074299,0.000168703,0.0005804276,0.00007917585,0.0001152589,0.0001586279,0.0001967195,0.00006146991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400265,"about_ca_system_score_gemma":0.0001623477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00806121,"about_ca_topic_score_gemma":0.02864976,"domain_scores_codex":[0.9980845,0.00004738143,0.0003612227,0.0006957568,0.0003845628,0.00042662],"domain_scores_gemma":[0.9987488,0.0002569317,0.0001454138,0.00006763367,0.0006259454,0.0001552854],"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":[0.0008402826,0.0004964764,0.2975096,0.0002388719,0.000121497,0.000008968319,0.00006469989,0.000003409695,0.5430688,0.0001726938,0.11249,0.04498466],"study_design_scores_gemma":[0.0001015506,0.0006509967,0.9271588,0.00009699693,0.00003634573,0.000004063572,0.00006004606,0.00007153975,0.0008853522,0.0001320408,0.07036366,0.0004385862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985061,0.0002592341,0.00004509878,0.0004881273,0.001161862,0.00185947,0.0005793562,0.0001988699,0.01034692],"genre_scores_gemma":[0.9880431,0.00007911948,0.0001958225,0.0002030211,0.00132073,0.000241815,0.0001408376,0.000002542705,0.009773046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6296492,"threshold_uncertainty_score":0.9985442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245643518456756,"score_gpt":0.3303353446050118,"score_spread":0.2878789094204443,"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."}}