{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856131,0.0002640955,0.0002591281,0.0002725051,0.0002109362,0.0003985577,0.0001247703,0.0003090347,0.0009143157],"category_scores_gemma":[0.0001946928,0.0001828196,0.0003583295,0.0001882896,0.0002983541,0.0002565161,0.0002081233,0.0008915935,0.0004622198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789705,"about_ca_system_score_gemma":0.0001924246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004493169,"about_ca_topic_score_gemma":0.0006185967,"domain_scores_codex":[0.9997748,0.00002224056,0.00001966029,0.00006689948,0.00008238733,0.00003407419],"domain_scores_gemma":[0.999835,0.00003195006,0.00005581305,0.00002405767,0.00002573054,0.00002747499],"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":[0.00009241192,0.00001001055,0.0006705496,0.00004832141,0.00001003885,0.00005552946,0.00002324921,0.00009444566,0.9969251,0.00009216039,0.00008569705,0.001892554],"study_design_scores_gemma":[0.000008443845,0.0001951254,0.02151575,0.00001450594,0.00004518227,0.0008861294,0.00006529313,0.002065387,0.9702514,0.0001551454,0.004783209,0.00001439885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734524,0.002913951,0.01726303,0.0002141057,0.00007864723,0.00005511541,0.002803564,0.0003750998,0.002844106],"genre_scores_gemma":[0.9832602,0.001736221,0.008594221,0.0001998962,0.00001564826,0.0001342968,0.003382877,0.0001350203,0.002541513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009143157,"threshold_uncertainty_score":0.003058672,"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."}}