{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004218511,0.0003151829,0.0003597987,0.0006272173,0.0001906622,0.0003966977,0.0001066506,0.0003399952,0.000738189],"category_scores_gemma":[0.000367159,0.0001739003,0.0003027736,0.0003611606,0.0002168316,0.0001472748,0.0002280374,0.0003058676,0.0001537913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310518,"about_ca_system_score_gemma":0.000159426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517414,"about_ca_topic_score_gemma":0.003050329,"domain_scores_codex":[0.9999019,0.00001656413,0.000006182141,0.00003149038,0.00002370205,0.00002012607],"domain_scores_gemma":[0.9998123,0.00003575942,0.00009364934,0.00001040396,0.00002341881,0.0000244808],"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":[0.00186428,0.0001561684,0.3649561,0.0002171318,0.0001851193,0.0007657179,0.0002751445,0.0001595873,0.6049059,0.0001000096,0.0004117594,0.02600311],"study_design_scores_gemma":[0.00001122929,0.0005713209,0.9903017,0.00002018327,0.00008018115,0.0005937238,0.0001585618,0.000420112,0.007213975,0.0000883594,0.0005298,0.00001090605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974795,0.0007221187,0.0007708599,0.00005017449,0.000009878247,0.00001182657,0.0007499303,0.00001563065,0.0001900717],"genre_scores_gemma":[0.9951842,0.0006803106,0.00201587,0.0001551649,0.00001125037,0.00002378068,0.001310821,0.000009185598,0.0006094683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001517414,"threshold_uncertainty_score":0.003017187,"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."}}