{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242012,0.0002824258,0.0002200041,0.0002815642,0.0002029099,0.0003592247,0.0002729771,0.0003082314,0.001811075],"category_scores_gemma":[0.0007862497,0.00009501279,0.0002442654,0.0001164118,0.0002391092,0.0002352213,0.0002613861,0.0004646301,0.0002727315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408717,"about_ca_system_score_gemma":0.000292133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005021878,"about_ca_topic_score_gemma":0.001348825,"domain_scores_codex":[0.9995077,0.0002248727,0.00002487648,0.00009268933,0.00005844867,0.00009139593],"domain_scores_gemma":[0.9992447,0.0002278333,0.0001931764,0.00007717749,0.00007353871,0.000183573],"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":[0.001062655,0.001527605,0.1085678,0.00008240696,0.0002062261,0.0002937979,0.0001628689,0.0004705931,0.8632884,0.0002777633,0.0005593734,0.02350047],"study_design_scores_gemma":[0.0001665783,0.01183255,0.8080888,0.00006020998,0.000248649,0.001081284,0.0003241375,0.002173709,0.1701639,0.0003673329,0.005453412,0.00003935388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981452,0.00009395986,0.0007833379,0.00007566595,0.00001360876,0.00002743763,0.00008924101,0.00001810394,0.0007535302],"genre_scores_gemma":[0.9957559,0.00007788395,0.002696034,0.000169519,0.00001269592,0.00004410021,0.0002638874,0.00001684432,0.0009632037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001811075,"threshold_uncertainty_score":0.006568491,"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."}}