{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005214312,0.000257995,0.0002951581,0.0001100667,0.00007154919,0.00003122765,0.000105691,0.0001686287,0.0001012666],"category_scores_gemma":[0.00001180918,0.0002132312,0.00009918958,0.0001634784,0.00005967032,0.00006623836,0.00007468983,0.0001568941,0.000006542042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001419079,"about_ca_system_score_gemma":0.00007907243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000605517,"about_ca_topic_score_gemma":0.00000905916,"domain_scores_codex":[0.9986123,0.00003753984,0.0003029795,0.0004585798,0.0002270791,0.000361554],"domain_scores_gemma":[0.9992679,0.00001030003,0.00006551071,0.000291547,0.00004138191,0.000323344],"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":[0.0002021314,0.001546217,0.001821662,0.000100202,0.00009316082,0.0002123149,0.0002540419,0.00009955411,0.9946796,0.00006370437,0.000444884,0.0004824776],"study_design_scores_gemma":[0.005810376,0.0002595766,0.0005833424,0.0002891378,0.0007555292,0.00006340687,0.0004829292,0.006857906,0.9837513,0.0003803725,0.0002881364,0.0004779736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703199,0.02262813,0.005254408,0.00006609951,0.00007362734,0.0004202134,0.0001061329,0.00006035995,0.001071185],"genre_scores_gemma":[0.9959695,0.001763415,0.001164145,0.0007612571,0.00001615516,0.00003236978,0.00005709986,0.000043146,0.0001929424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564963,"threshold_uncertainty_score":0.8695316,"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."}}