{"id":"W2055776709","doi":"10.1016/j.vetimm.2013.08.004","title":"Profiling microRNA expression in bovine alveolar macrophages using RNA-seq","year":2013,"lang":"en","type":"article","venue":"Veterinary Immunology and Immunopathology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Science Foundation Ireland","keywords":"Biology; microRNA; Innate immune system; Gene; Gene expression profiling; Gene expression; Deep sequencing; Immunity; Genetics; Immune system; Genome","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":[0.0004047714,0.0002429538,0.0004359619,0.0003177013,0.0003964901,0.0006503072,0.00021649,0.0003688631,0.0006247247],"category_scores_gemma":[0.0003239339,0.0002290345,0.0003643899,0.00035905,0.000248569,0.0001722645,0.0002111919,0.0005310117,0.0004310714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003010529,"about_ca_system_score_gemma":0.0003439829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343578,"about_ca_topic_score_gemma":0.004215162,"domain_scores_codex":[0.9995208,0.00006109678,0.00002902398,0.0001537553,0.000164844,0.00007054134],"domain_scores_gemma":[0.9998206,0.00006837574,0.00003148512,0.00001675364,0.00004727838,0.00001550724],"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":[0.00006908838,0.000004876155,0.0007983148,0.00002987785,0.000006909836,0.00001408474,0.00003661049,0.0001048263,0.9973884,0.00005038703,0.00004612653,0.00145051],"study_design_scores_gemma":[0.00002932665,0.0002931911,0.06274278,0.00002984714,0.0001208181,0.0002580618,0.0002831521,0.008718919,0.9170066,0.0002835112,0.0102049,0.00002908519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353434,0.003726206,0.04961099,0.0002634602,0.0001424323,0.0001529949,0.005839683,0.0003422319,0.004578633],"genre_scores_gemma":[0.9402177,0.001611314,0.04682755,0.0006019656,0.00004516761,0.0003324627,0.005458508,0.0001723792,0.00473307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001343578,"threshold_uncertainty_score":0.00267148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353760646584124,"score_gpt":0.2555286826545305,"score_spread":0.2419910761886893,"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."}}