{"id":"W7075682736","doi":"","title":"ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data","year":2018,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Science and Technology Agency; National Bioscience Database Center; Japan Society for the Promotion of Science; Institute of Genetics; Japan Agency for Medical Research and Development","keywords":"Suite; Chromatin; Histone; Epigenetics; Chromatin immunoprecipitation; Data integration; Genomics; Gene; Sequence (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006153102,0.004096399,0.004655092,0.009883364,0.001615038,0.00350044,0.00603998,0.001314718,0.01857902],"category_scores_gemma":[0.008718194,0.002713879,0.003543778,0.008862576,0.0007626728,0.002353141,0.004652356,0.002967594,0.0154235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190932,"about_ca_system_score_gemma":0.004937341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122986,"about_ca_topic_score_gemma":0.006978689,"domain_scores_codex":[0.9965437,0.0005595236,0.0005310471,0.00101255,0.001079555,0.0002737341],"domain_scores_gemma":[0.9953192,0.001645775,0.0005658585,0.001210042,0.0008265909,0.0004325246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003074,0.0002883637,0.01654311,0.01144988,0.006015854,0.001004407,0.0007995831,0.0166517,0.09041736,0.0159281,0.7366756,0.101152],"study_design_scores_gemma":[0.001534877,0.0003772749,0.02751531,0.0005818718,0.002420908,0.001456323,0.0002982157,0.06553923,0.1115497,0.03601873,0.7519652,0.0007424206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.007261105,0.001376714,0.1523847,0.0003514338,0.0002276804,0.0006885263,0.6802427,0.1521342,0.005332848],"genre_scores_gemma":[0.02200985,0.001197676,0.1884094,0.0005419194,0.0001256766,0.003748064,0.7678419,0.01425309,0.001872426],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01857902,"threshold_uncertainty_score":0.06215304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041347802577168,"score_gpt":0.2919723665282966,"score_spread":0.2506245639511285,"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."}}