{"id":"W2125045287","doi":"10.1093/bioinformatics/btq491","title":"Structural genomics of histone tail recognition","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Knut och Alice Wallenbergs Stiftelse; Karolinska Institutet; Stiftelsen för Strategisk Forskning; Ontario Genomics Institute; Canadian Institutes of Health Research; National Institute for Health and Care Research; Ontario Genomics; Genome Canada; Ontario Innovation Trust; Wellcome Trust; GlaxoSmithKline","keywords":"Histone; Computational biology; Computer science; Epigenetics; Genomics; Graphics; Biology; Genetics; Genome; Gene; Computer graphics (images)","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":[0.0002239939,0.0004405743,0.0003920173,0.000374042,0.0003871032,0.0005167947,0.0005005882,0.0003701993,0.005857464],"category_scores_gemma":[0.0002984253,0.0001747542,0.000406968,0.0006212593,0.0001432051,0.0003616539,0.0002464767,0.0006955959,0.00250552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000693389,"about_ca_system_score_gemma":0.0005289821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539992,"about_ca_topic_score_gemma":0.00252298,"domain_scores_codex":[0.9998983,0.00001177746,0.000005568199,0.00003375076,0.00003489064,0.00001565221],"domain_scores_gemma":[0.9998636,0.00003584162,0.00002586388,0.00001518879,0.00002801613,0.00003146335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009246696,0.000234612,0.004794004,0.001151205,0.00009768255,0.0004674573,0.0001952212,0.01198304,0.8475704,0.02365231,0.02739419,0.08153526],"study_design_scores_gemma":[0.0002085983,0.0006399801,0.04907053,0.0001261497,0.0002540801,0.00142827,0.0001601897,0.05952261,0.7001309,0.0347059,0.1536334,0.0001194322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7125972,0.01537302,0.1554745,0.004239472,0.000540146,0.0002284259,0.0608489,0.008095463,0.04260278],"genre_scores_gemma":[0.8124815,0.004948571,0.05755472,0.0006991337,0.0002389102,0.0001400105,0.1091297,0.0009367254,0.01387072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005857464,"threshold_uncertainty_score":0.01959521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085528060864508,"score_gpt":0.233259972320905,"score_spread":0.2251744442600404,"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."}}