{"id":"W4307944539","doi":"10.3390/metabo12111045","title":"Identification of Candidate Salivary, Urinary and Serum Metabolic Biomarkers for High Litter Size Potential in Sows (Sus scrofa)","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund","keywords":"Metabolome; Metabolomics; Metabolite; Biology; Lipid metabolism; Litter; Physiology; Andrology; Endocrinology; Bioinformatics; Medicine","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":[0.0006064591,0.0001810708,0.0003645715,0.0001664738,0.0001582551,0.00002418703,0.0001952421,0.00005681866,0.00005186384],"category_scores_gemma":[0.0001374212,0.0001806129,0.0001107801,0.0002466927,0.00009276206,0.000008736094,0.0003414393,0.0000757645,5.54067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008899966,"about_ca_system_score_gemma":0.00004018911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326742,"about_ca_topic_score_gemma":0.00001672724,"domain_scores_codex":[0.9985433,0.0001369411,0.000428536,0.0004386343,0.0001574281,0.0002951736],"domain_scores_gemma":[0.9993345,0.00003556312,0.000200758,0.0003132332,0.00006748056,0.00004851834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002896102,0.0001397422,0.0121007,0.00004472883,0.000281489,0.000002391809,0.00006371362,0.00002071902,0.9831173,0.002182923,0.0004237235,0.001332912],"study_design_scores_gemma":[0.002156365,0.0002830895,0.3645379,0.000003445634,0.0002213069,0.00001831838,0.000362139,0.00009941884,0.5919328,0.00261329,0.03741679,0.0003551584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746591,0.02328955,0.0002505049,0.0004433407,0.0003425274,0.000397463,0.000563018,0.000007888042,0.00004657744],"genre_scores_gemma":[0.9958617,0.001864602,0.001140195,0.0001421817,0.0001253872,0.0001979067,0.0001282317,0.00002586508,0.0005139277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3911845,"threshold_uncertainty_score":0.7365181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005135675965553022,"score_gpt":0.2316087257424197,"score_spread":0.2264730497768667,"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."}}