{"id":"W2790814744","doi":"10.1083/jcb.201709153","title":"Imaging of native transcription factors and histone phosphorylation at high resolution in live cells","year":2018,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; Ligue Contre le Cancer; Université de Strasbourg; Institute of Genetics; Conseil National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; H2020 European Research Council; Agency for Science, Technology and Research; Agence Nationale de la Recherche; Nanyang Technological University","keywords":"Live cell imaging; Histone; Endogeny; Cell biology; Transcription factor; Biology; Cell; Transcription (linguistics); Phosphorylation; Computational biology; DNA; Gene; Genetics; Biochemistry","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":[0.00025279,0.0003461488,0.0004111289,0.0003708547,0.0002050943,0.0005183897,0.0006348166,0.0005594618,0.0009962028],"category_scores_gemma":[0.0002629682,0.0003152478,0.000229201,0.0003090294,0.0003341349,0.0006772911,0.000448657,0.0007859995,0.0005122555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370572,"about_ca_system_score_gemma":0.0002188559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006158706,"about_ca_topic_score_gemma":0.0009691063,"domain_scores_codex":[0.9998391,0.00001620133,0.000008937978,0.00006396125,0.00004076658,0.00003105224],"domain_scores_gemma":[0.9999013,0.00003515343,0.0000155562,0.00001768927,0.00001574427,0.00001454827],"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":[0.00001261101,0.000003757415,0.00004621561,0.0000267639,0.000001901441,0.00002225922,0.00000996977,0.0001078891,0.9984487,0.0002389359,0.00002506625,0.001055782],"study_design_scores_gemma":[0.000006526505,0.00005735971,0.001490365,0.0000104767,0.000008690508,0.0004284238,0.00003367306,0.004879462,0.9889637,0.0005643694,0.003546069,0.00001083275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5688121,0.005868217,0.4171262,0.0002714449,0.0001109931,0.00008357815,0.001086288,0.0007983624,0.005842694],"genre_scores_gemma":[0.7198071,0.005846222,0.2658184,0.0001721705,0.00006084898,0.0002292747,0.001160785,0.0002367444,0.006668418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009962028,"threshold_uncertainty_score":0.003332615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007047902724871622,"score_gpt":0.2647842687314938,"score_spread":0.2577363660066222,"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."}}