{"id":"W2142280055","doi":"10.1093/bioinformatics/btt710","title":"ChromoHub V2: cancer genomics","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada; Wellcome Trust; Eli Lilly Canada; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Chromatin; Genomics; Epigenetics; Histone; Computational biology; Biology; Genome; Cancer; Chromatin remodeling; Genetics; 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":[0.000048437,0.00009367688,0.00006926202,0.0000254464,0.00005281948,0.00004504428,0.0001325331,0.00009127314,0.0002528446],"category_scores_gemma":[0.00002646266,0.000081302,0.00004476717,0.00004816155,0.00003747808,0.00001130033,0.00006872349,0.00004492085,0.0003710699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886945,"about_ca_system_score_gemma":0.00006780973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003631954,"about_ca_topic_score_gemma":0.000008280322,"domain_scores_codex":[0.9994745,0.0000070224,0.0001995233,0.00007773157,0.00008146575,0.0001597952],"domain_scores_gemma":[0.999564,0.000002152026,0.00007565857,0.000219288,0.00006631509,0.00007259793],"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":[0.00001642726,0.00007320631,0.001906309,0.0001111278,0.0001018012,5.330092e-7,0.0003906288,0.00007684543,0.4686484,0.0006451112,0.4223825,0.1056471],"study_design_scores_gemma":[0.0003833746,0.00009419012,0.001276971,0.00001226169,0.000007756982,0.000006863481,0.0001589605,0.003493239,0.3288261,0.00006609242,0.6654099,0.000264288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627424,0.0007504146,0.00587317,0.0008000938,0.0006085951,0.0006667529,0.00004152084,0.00005658825,0.0284605],"genre_scores_gemma":[0.9564641,0.001132788,0.02799485,0.004334094,0.0009347409,0.0002196933,0.0003640074,0.0000478326,0.008507934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430274,"threshold_uncertainty_score":0.4769476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008853294606747695,"score_gpt":0.229220323251506,"score_spread":0.2203670286447583,"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."}}