{"id":"W3093743094","doi":"10.1002/path.5571","title":"<scp>miRNA</scp> repertoires of cystic fibrosis <i>ex vivo</i> models highlight <scp>miR‐181a</scp> and <scp>miR</scp>‐101 that regulate <scp>WISP1</scp> expression","year":2020,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Association Vaincre la Mucoviscidose","keywords":"microRNA; Biology; Gene isoform; Ex vivo; Cystic fibrosis; Gene expression; Downregulation and upregulation; Gene; Cell biology; Regulation of gene expression; Cancer research; Immunology; In vivo; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001666821,0.000884956,0.001304078,0.0003000229,0.0003999007,0.0001059458,0.001339038,0.0009686231,0.00001214963],"category_scores_gemma":[0.00284087,0.0006917637,0.000596277,0.0004523487,0.0008101646,0.0001265498,0.0009156712,0.0007834866,0.00002282203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008562673,"about_ca_system_score_gemma":0.0003075217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825282,"about_ca_topic_score_gemma":0.00001080684,"domain_scores_codex":[0.9938577,0.001490312,0.001637472,0.001000229,0.0008719908,0.001142318],"domain_scores_gemma":[0.9935375,0.001369903,0.00245479,0.001263963,0.0006535277,0.000720351],"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":[0.00006014009,0.0001921105,0.00100419,0.0002495425,0.0002498486,0.000200646,0.002171081,0.003120518,0.9336686,0.0001009864,0.05876689,0.0002154949],"study_design_scores_gemma":[0.002405083,0.001319266,0.008592023,0.000373726,0.0006400763,0.001801035,0.001563084,0.001408019,0.9438074,0.001894689,0.03607889,0.0001166926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973079,0.01605577,0.007796639,0.0004264135,0.0005456618,0.0006114988,0.0001847926,0.00005934637,0.001240927],"genre_scores_gemma":[0.9892209,0.003945209,0.002993238,0.0008168923,0.0009477915,0.00002327297,0.00009819586,0.0001858912,0.001768627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02268799,"threshold_uncertainty_score":0.9995533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446963386392513,"score_gpt":0.2264594169385412,"score_spread":0.2119897830746161,"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."}}