{"id":"W2164354446","doi":"10.1101/gr.144840.112","title":"Interplay between chromatin state, regulator binding, and regulatory motifs in six human cell types","year":2013,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"David Geffen School of Medicine, University of California, Los Angeles; National Human Genome Research Institute; National Institutes of Health; National Science Foundation","keywords":"Chromatin; Biology; ChIA-PET; Bivalent chromatin; Regulator; Enhancer; Genetics; Sequence motif; Scaffold/matrix attachment region; Transcription factor; Histone; Regulatory sequence; Computational biology; Chromatin remodeling; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003312565,0.0001108663,0.0003361476,0.0006437611,0.0001967309,0.0003677152,0.0001334243,0.0001993138,0.001020154],"category_scores_gemma":[0.0004524605,0.0001970565,0.0002347045,0.0005312549,0.0002506827,0.0001151341,0.000306627,0.0001430577,0.0002109295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567413,"about_ca_system_score_gemma":0.00008522272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214319,"about_ca_topic_score_gemma":0.002188053,"domain_scores_codex":[0.999739,0.00005397879,0.00001487173,0.00009543278,0.00005807283,0.00003866378],"domain_scores_gemma":[0.9996377,0.0001928539,0.00004535137,0.0000464404,0.00003218698,0.00004534325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007248288,0.00003661709,0.08092935,0.00009036944,0.0001001379,0.0000965577,0.0002664945,0.0007532722,0.9068959,0.000305124,0.0001064004,0.009694926],"study_design_scores_gemma":[0.00002625319,0.0002564586,0.7538749,0.000008329776,0.0001184487,0.0008084105,0.0002517255,0.002676649,0.2392534,0.0005574935,0.002140402,0.00002757142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965835,0.0005555967,0.001855471,0.0000143111,0.000001783776,0.000005888469,0.000458177,0.00002853977,0.000496653],"genre_scores_gemma":[0.9967557,0.0002646677,0.001357817,0.00002639646,0.000002554883,0.0000132857,0.001012976,0.00001408379,0.0005525655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214319,"threshold_uncertainty_score":0.003412783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627265534250068,"score_gpt":0.308305538857599,"score_spread":0.2920328835150984,"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."}}