{"id":"W1998018670","doi":"10.3390/ijms16034997","title":"Transcriptome MicroRNA Profiling of Bovine Mammary Glands Infected with Staphylococcus aureus","year":2015,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"KEGG; Biology; microRNA; Mastitis; Gene; Transcriptome; Staphylococcus aureus; Gene expression profiling; Gene expression; Regulation of gene expression; Genetics; Microbiology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388855,0.0001421617,0.0003138665,0.0002982333,0.0001502712,0.0003144458,0.00006831028,0.0001981581,0.0004574774],"category_scores_gemma":[0.00014355,0.0001265162,0.0002299588,0.0001911482,0.00009627008,0.0000941996,0.0001306108,0.0002288948,0.000169788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152786,"about_ca_system_score_gemma":0.0001271564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005620045,"about_ca_topic_score_gemma":0.0007782466,"domain_scores_codex":[0.9998679,0.00001700222,0.000007566766,0.00003800089,0.00003770064,0.00003190066],"domain_scores_gemma":[0.9999149,0.00001868317,0.00002790533,0.000004288168,0.00001955509,0.00001473679],"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":[0.0001705949,0.00000893781,0.001577304,0.00002415818,0.000005579048,0.00003121962,0.00004330578,0.0000115625,0.9973841,0.000009832193,0.0000141982,0.0007190666],"study_design_scores_gemma":[0.00003164175,0.001289639,0.4090883,0.00003479206,0.000177065,0.0007740115,0.0008110473,0.002426884,0.5811713,0.0001046925,0.004064019,0.00002658104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968046,0.001261229,0.0008849623,0.00002657449,0.00001212575,0.00001339227,0.0004724318,0.00001658956,0.0005080826],"genre_scores_gemma":[0.9944404,0.0008936103,0.002111924,0.0001126932,0.000008681933,0.00004226237,0.001101184,0.00001454327,0.00127469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005620045,"threshold_uncertainty_score":0.001530349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708899366695742,"score_gpt":0.2615814497076039,"score_spread":0.2344924560406465,"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."}}