{"id":"W1966354069","doi":"10.1186/1471-2164-15-181","title":"Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureusbacteria reveals pathogen directed microRNA expression profiles","year":2014,"lang":"en","type":"article","venue":"BMC Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada; University of Alberta","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Transcriptome; Gene expression profiling; microRNA; Pathogen; Microbiology; DNA microarray; Escherichia coli; Microarray; Gene expression; Staphylococcus aureus; Gene; Genetics; Bacteria","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":[0.0001611002,0.0001873778,0.0004258403,0.0002441336,0.0001524447,0.0004093019,0.0001002735,0.0002748275,0.0007462003],"category_scores_gemma":[0.0001687414,0.0001502043,0.0003493124,0.000272949,0.0001199126,0.0001552289,0.0001834334,0.0003133149,0.0004437071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180245,"about_ca_system_score_gemma":0.0001603665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006429339,"about_ca_topic_score_gemma":0.0009255607,"domain_scores_codex":[0.999815,0.00001592958,0.00001278231,0.00006330819,0.00005577878,0.00003719419],"domain_scores_gemma":[0.9998754,0.00003577283,0.00003351181,0.000006402568,0.00003194913,0.00001694872],"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":[0.0001048736,0.000005562577,0.000899888,0.00003726009,0.000004128891,0.00002006631,0.00002324166,0.00002144386,0.9981908,0.000008656742,0.0000176962,0.0006663546],"study_design_scores_gemma":[0.00001281347,0.0006562569,0.159405,0.00002996701,0.00009107051,0.0005433302,0.0003437085,0.00234796,0.8320163,0.00006113503,0.004470602,0.00002183665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892589,0.003192415,0.003661536,0.00007293001,0.00003309452,0.00002700818,0.002475736,0.00007586255,0.001202528],"genre_scores_gemma":[0.9841324,0.001847947,0.006908093,0.0001721129,0.00001618463,0.00008695196,0.0040774,0.00003877866,0.002720081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007462003,"threshold_uncertainty_score":0.002496243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194078002897356,"score_gpt":0.2210145812690377,"score_spread":0.2090738012400641,"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."}}