{"id":"W2335964622","doi":"10.1038/ncomms11169","title":"A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Ovarian Cancer Canada; Cancer Prevention and Research Institute of Texas; U.S. Department of Health and Human Services; National Institutes of Health; Ovarian Cancer Research Fund; Russell and Diana Hawkins Family Foundation; RGK Foundation; Ovarian Cancer Research Fund Alliance; U.S. Department of Defense","keywords":"Angiogenesis; microRNA; Cancer research; Regulator; Downregulation and upregulation; In vivo; Cancer; Suppressor; In vitro; Biology; Medicine; Internal medicine; Biochemistry; Gene","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":[0.000277055,0.0001211871,0.0001078279,0.00003162479,0.0001605419,0.0000155796,0.0008978197,0.0003021576,0.00002771226],"category_scores_gemma":[0.0001212495,0.00007779548,0.0001095604,0.0001970504,0.0001637704,0.000006043241,0.0002879908,0.0002197854,0.00001091476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006423684,"about_ca_system_score_gemma":0.0001310997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002538048,"about_ca_topic_score_gemma":0.002285363,"domain_scores_codex":[0.9990546,0.0002061714,0.0002046882,0.0002101923,0.0001055164,0.0002188637],"domain_scores_gemma":[0.9975921,0.00009948986,0.0001072366,0.002036247,0.0001153235,0.0000496124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079054,0.0001346471,0.03849243,0.000007162292,0.000184509,6.363411e-7,0.00005690472,0.00013828,0.8777489,0.006095629,0.07148513,0.005547854],"study_design_scores_gemma":[0.001502779,0.00003349254,0.3879108,0.0001038801,0.00006684688,0.00000694215,0.0000237493,0.0001165079,0.01303122,0.00095591,0.595944,0.0003038363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261779,0.1483254,0.0002317902,0.02279449,0.0002900868,0.0008251682,0.00009795865,0.00003988354,0.001217377],"genre_scores_gemma":[0.9964786,0.001479997,0.0003694139,0.000826769,0.0002280505,0.0002011061,0.00007901347,0.0000215471,0.0003154832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647177,"threshold_uncertainty_score":0.3172408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202824983223275,"score_gpt":0.2893615243146914,"score_spread":0.2773332744824586,"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."}}