{"id":"W2015625782","doi":"10.1016/j.bcmd.2011.04.008","title":"Novel therapeutic candidates, identified by molecular modeling, induce γ-globin gene expression in vivo","year":2011,"lang":"en","type":"article","venue":"Blood Cells Molecules and Diseases","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Center for Research Resources; Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; School of Medicine, Boston University","keywords":"In silico; Fetal hemoglobin; In vivo; Globin; Hemoglobin; Thalassemia; Potency; Biology; In vitro; Gene; Molecular biology; Computational biology; Genetics; Biochemistry; Fetus","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":[0.0002043264,0.0004921085,0.0004107383,0.0002626968,0.0001756709,0.0003532525,0.0002384803,0.0004084852,0.00190323],"category_scores_gemma":[0.0001131084,0.0001458029,0.0002679624,0.0001385106,0.0002517313,0.0002355049,0.0001031907,0.0006690306,0.000356501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501104,"about_ca_system_score_gemma":0.0002792131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129755,"about_ca_topic_score_gemma":0.0002263521,"domain_scores_codex":[0.9999437,0.00001392993,0.000002699247,0.00001214321,0.00001259057,0.00001480718],"domain_scores_gemma":[0.9999617,0.00001363116,0.00001012757,0.000004331081,0.000002739744,0.000007461138],"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":[0.001015966,0.0004532551,0.0002131747,0.00009855808,0.00002458699,0.0001926869,0.00004260601,0.00247296,0.9777908,0.003511399,0.0006054591,0.01357855],"study_design_scores_gemma":[0.0003504916,0.002123027,0.0002608341,0.00001127858,0.00005712556,0.000273104,0.00002590862,0.004495033,0.9864806,0.0006048336,0.005310978,0.000006791218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511594,0.004208253,0.03676428,0.0007150735,0.000220497,0.0003198526,0.0004184871,0.0003531424,0.005841019],"genre_scores_gemma":[0.9846451,0.002360457,0.009802236,0.0001128046,0.00002692696,0.0001546286,0.0003434471,0.0000351781,0.002519326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00190323,"threshold_uncertainty_score":0.006366968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147784690810292,"score_gpt":0.2171192297617102,"score_spread":0.2056413828536073,"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."}}