{"id":"W2801392460","doi":"10.1186/s12711-018-0371-4","title":"Genomic prediction of piglet response to infection with one of two porcine reproductive and respiratory syndrome virus isolates","year":2018,"lang":"en","type":"article","venue":"Genetics Selection Evolution","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Food and Agriculture; Genome Canada; National Pork Board; U.S. Department of Agriculture","keywords":"Porcine reproductive and respiratory syndrome virus; Biology; Virology; Genomic selection; Virus; Selection (genetic algorithm); Respiratory system; Computational biology; Genetics; Gene; Genotype; Single-nucleotide polymorphism; Machine learning","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":[0.000486361,0.000124426,0.0001825665,0.0000975654,0.0002739866,0.000009060985,0.00004375943,0.00007258941,0.00004002327],"category_scores_gemma":[0.0001078798,0.00006967404,0.0000295493,0.0008403728,0.0002024837,0.0001107569,0.00005157445,0.00007968704,0.000008579076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402918,"about_ca_system_score_gemma":0.00002119632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009515521,"about_ca_topic_score_gemma":0.002157672,"domain_scores_codex":[0.998869,0.0001746708,0.0002922352,0.0003550268,0.0001472977,0.0001617726],"domain_scores_gemma":[0.9990838,0.00005274383,0.0002058269,0.00007501261,0.0005332744,0.00004935592],"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":[0.0008037208,0.0000811466,0.1547837,0.000006425871,0.00003626739,7.30457e-8,0.0001017884,0.0001350459,0.8431343,0.00005331974,0.00004780352,0.0008164763],"study_design_scores_gemma":[0.0001953038,0.007584969,0.8445429,0.00002441554,0.00004519789,0.00002829666,0.0000446234,0.0001133958,0.1465511,0.0002463645,0.0005305372,0.00009292365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977459,0.0001986706,0.001333175,0.00008159438,0.0001129883,0.000354468,0.00004274201,0.00006232746,0.00006818231],"genre_scores_gemma":[0.9990962,0.00005031107,0.0005272842,0.00001904825,0.0002258149,0.00002239171,0.000004809783,0.000002600211,0.00005154016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6965832,"threshold_uncertainty_score":0.2841225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317301011196822,"score_gpt":0.2327330547553796,"score_spread":0.2095600446434114,"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."}}