{"id":"W2255229856","doi":"10.1016/j.ccell.2015.12.011","title":"miR-126 Regulates Distinct Self-Renewal Outcomes in Normal and Malignant Hematopoietic Stem Cells","year":2016,"lang":"en","type":"article","venue":"Cancer Cell","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute; Canadian Institutes of Health Research; Ministero della Salute; Canada Research Chairs; Terry Fox Foundation; European Commission; Ontario Ministry of Health and Long-Term Care; Ontario Genomics Institute","keywords":"Haematopoiesis; Stem cell; Biology; Cancer research; Malignant cells; Cell biology; Immunology; Genetics; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.00007320488,0.0001581155,0.0001527555,0.00002137439,0.00003020158,0.00001440274,0.0001057327,0.0001048803,0.00007221546],"category_scores_gemma":[0.000002811455,0.0001137002,0.00005320797,0.00003559447,0.00005282865,0.000006331852,0.00008968004,0.00002395341,0.000008765795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005799335,"about_ca_system_score_gemma":0.0000603328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005792971,"about_ca_topic_score_gemma":0.0001895832,"domain_scores_codex":[0.9991081,0.00003837926,0.0001947438,0.0003375195,0.0000840742,0.000237135],"domain_scores_gemma":[0.9995205,0.00001489035,0.00007798032,0.0002627591,0.00003206576,0.00009183622],"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":[0.00003266139,0.00005305296,0.0437354,0.00007696377,0.0000217676,0.000004502146,0.00006087881,0.000005817163,0.9547188,0.00001318349,0.0003806735,0.0008962675],"study_design_scores_gemma":[0.0008815794,0.00003927629,0.02084373,0.00005065617,0.00002434743,0.000003713404,0.0000257429,0.00001228701,0.9742935,0.00004178738,0.003568704,0.000214659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959657,0.003189356,0.00006767845,0.0001085842,0.0001320859,0.0001678113,0.0000468697,0.00001531216,0.0003066226],"genre_scores_gemma":[0.9977097,0.0003662101,0.0001120127,0.00004560617,0.00007132651,0.00003598727,0.00000960129,0.00002288271,0.00162669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289166,"threshold_uncertainty_score":0.463656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006312426180212488,"score_gpt":0.2203599308667902,"score_spread":0.2140475046865777,"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."}}