{"id":"W2806459091","doi":"10.1016/j.isci.2018.06.001","title":"Live-Cell Imaging of Chromatin Condensation Dynamics by CRISPR","year":2018,"lang":"en","type":"article","venue":"iScience","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health; University of Toronto; Yale University","keywords":"Chromatin; Biology; DNA; Ribosomal DNA; Cell biology; Prophase; Mitosis; Helicase; Genetics; RNA; Gene; Phylogenetics","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":[0.0002248668,0.0003265497,0.0004079463,0.0003050431,0.0003282668,0.0005580218,0.000746344,0.0007290096,0.002273389],"category_scores_gemma":[0.0002223778,0.0002904584,0.0003373392,0.0002231711,0.0004196131,0.0003120414,0.0005732849,0.001318571,0.0005744327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007881303,"about_ca_system_score_gemma":0.0003448534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001859274,"about_ca_topic_score_gemma":0.003136973,"domain_scores_codex":[0.9998063,0.0000170012,0.0000119712,0.00007116044,0.0000573348,0.00003629421],"domain_scores_gemma":[0.9997874,0.00006582816,0.00004298932,0.00003747207,0.00002757479,0.00003875459],"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":[0.00003141644,0.00001315136,0.0001494595,0.0000317137,0.000005913826,0.00004949112,0.00001895688,0.0003670926,0.9971032,0.0004736708,0.000190097,0.001565899],"study_design_scores_gemma":[0.00002313984,0.00006541797,0.002544029,0.000008454712,0.00001115286,0.0001646594,0.00002986165,0.01460715,0.9772409,0.0002800118,0.005003658,0.00002158616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.801588,0.00191019,0.176124,0.0008232302,0.000247134,0.0002022732,0.004278573,0.002803401,0.01202323],"genre_scores_gemma":[0.8754258,0.001364316,0.1133824,0.0003101944,0.00004486904,0.0003958764,0.001792775,0.0003246397,0.006959044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002273389,"threshold_uncertainty_score":0.007605195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003984218554605014,"score_gpt":0.2253620468359018,"score_spread":0.2213778282812968,"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."}}