{"id":"W4387569510","doi":"10.21203/rs.3.rs-3396427/v1","title":"Multi-omics integration identifies regulatory factors underlying bovine subclinical mastitis","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Government of Canada; Business Development Bank of Canada; Gouvernement du Québec; Université Laval","funders":"Agriculture and Agri-Food Canada; China Scholarship Council","keywords":"Subclinical infection; Omics; Computational biology; Mastitis; Biology; Bioinformatics; Microbiology; Virology","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":[0.00100232,0.0007024526,0.001142237,0.001116434,0.0003401611,0.002311351,0.0002964807,0.0005269033,0.001969657],"category_scores_gemma":[0.001381811,0.0003107038,0.001292651,0.001322484,0.0002544697,0.0005456842,0.0009191814,0.0006536984,0.0003495491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462147,"about_ca_system_score_gemma":0.0005116292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703016,"about_ca_topic_score_gemma":0.002052122,"domain_scores_codex":[0.9992042,0.0001473732,0.00004274576,0.00033759,0.0001079538,0.000160208],"domain_scores_gemma":[0.9991546,0.0004017045,0.0002000096,0.00009488661,0.00007077833,0.00007808369],"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":[0.002955289,0.00020312,0.2495024,0.0005390995,0.001835695,0.0003440725,0.0004133945,0.003633093,0.697211,0.0008065954,0.001192116,0.04136406],"study_design_scores_gemma":[0.00004410416,0.0002343743,0.9634283,0.0000680923,0.001018832,0.0002494854,0.0003754664,0.01336565,0.01675633,0.0018056,0.002616672,0.00003720302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802781,0.003795178,0.007620093,0.0003908843,0.00006349898,0.00001614868,0.00686913,0.0001236802,0.0008433524],"genre_scores_gemma":[0.9834146,0.001026204,0.005889841,0.0003003293,0.00004660274,0.0000275313,0.008438148,0.00007444007,0.0007823303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002311351,"threshold_uncertainty_score":0.006589174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4180078480873894,"score_gpt":0.4486762593933337,"score_spread":0.03066841130594433,"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."}}