{"id":"W2992708503","doi":"","title":"Blood Transcriptome in Healthy Piglets as a Potential Biomarker to Improve Disease Resilience","year":2019,"lang":"en","type":"article","venue":"Iowa State University animal industry report","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; University of Alberta; University of Saskatchewan","funders":"","keywords":"Disease; Biology; Resilience (materials science); Transcriptome; Population; Psychological resilience; Biomarker; Herd; Gene; Gene expression; Genetics; Environmental health; Medicine; Ecology; Psychology; Pathology","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":[0.0003374446,0.0001898587,0.0002531163,0.00006321337,0.0001402715,0.00003107547,0.0003396038,0.0001867895,0.0008847762],"category_scores_gemma":[0.00006887702,0.0001107971,0.0001226364,0.0005534691,0.00007743892,0.0002707276,0.0001862822,0.0003328044,0.0001878196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007674541,"about_ca_system_score_gemma":0.00006712355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371854,"about_ca_topic_score_gemma":0.000378713,"domain_scores_codex":[0.9981043,0.0001306796,0.000291491,0.000703337,0.0002336576,0.0005365534],"domain_scores_gemma":[0.9991342,0.0000458281,0.0001294196,0.0001185708,0.00005711845,0.0005148617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007876132,0.000575422,0.7398849,0.0000447992,0.00006675501,0.0130494,0.00009781846,0.000113357,0.2324385,0.0004737208,0.00225474,0.003124561],"study_design_scores_gemma":[0.0003959974,0.0009046817,0.9816384,0.00002226683,0.00003623656,0.00002666539,0.0006767067,0.0001093356,0.00004963537,0.00009526276,0.01577434,0.0002704943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909132,0.00002585644,0.000003223044,0.004816679,0.0001257296,0.0004866102,0.00007989554,0.00006957711,0.003479239],"genre_scores_gemma":[0.9928611,0.00001836212,0.00001816218,0.0008801949,0.00004866242,0.000001884131,0.00004721032,0.000001668533,0.006122775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417535,"threshold_uncertainty_score":0.9687679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059637007048093,"score_gpt":0.2416514680149834,"score_spread":0.2210550979445025,"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."}}