{"id":"W2197749995","doi":"10.1371/journal.pone.0145179","title":"Inhibition of Autoimmune Diabetes in NOD Mice by miRNA Therapy","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Blood Services","funders":"Canadian Institutes of Health Research; Health Canada; Centre for Blood Research, University of British Columbia; Michael Smith Health Research BC; University of British Columbia; Government of Canada; Canadian Blood Services; Australian Government","keywords":"Allorecognition; NOD mice; Nod; Proinflammatory cytokine; Insulitis; Immunology; Downregulation and upregulation; Autoimmune disease; Medicine; Immune system; Type 1 diabetes; Diabetes mellitus; Autoimmunity; Biology; T cell; Inflammation; Endocrinology; Antibody","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":[0.0004156907,0.0006885463,0.0005824221,0.0006808252,0.0002221091,0.0004087649,0.000295154,0.0005759656,0.001393586],"category_scores_gemma":[0.000188714,0.000240711,0.0004466267,0.000262712,0.0003321119,0.0002664885,0.0002486603,0.001086792,0.0005739308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137186,"about_ca_system_score_gemma":0.000257483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001967371,"about_ca_topic_score_gemma":0.0003917379,"domain_scores_codex":[0.9995828,0.00007765523,0.00006220808,0.00009732163,0.0001006189,0.00007937412],"domain_scores_gemma":[0.9998324,0.00002678088,0.00006143191,0.00002527754,0.0000147489,0.00003936966],"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":[0.0002841473,0.0001123974,0.00005907492,0.00004384523,0.000005867529,0.00003262455,0.0000144274,0.00007629656,0.9966534,0.0001652215,0.00005367923,0.002499087],"study_design_scores_gemma":[0.00009310963,0.001568839,0.0006750647,0.00001432096,0.00002309091,0.0001874735,0.00001523149,0.0007217823,0.992564,0.00008485865,0.004045427,0.000006724146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741647,0.003315174,0.01466745,0.000424955,0.0002655058,0.0002873516,0.0009360901,0.0008040039,0.005134906],"genre_scores_gemma":[0.966679,0.003763038,0.01781707,0.0002354007,0.00008672503,0.0006264993,0.001077043,0.0001304647,0.009584679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001393586,"threshold_uncertainty_score":0.004662037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726182380528762,"score_gpt":0.2086365384862951,"score_spread":0.1913747146810074,"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."}}