{"id":"W2793161357","doi":"10.1016/j.ymeth.2018.02.023","title":"Catch the live show: Visualizing damaged DNA in vivo","year":2018,"lang":"en","type":"review","venue":"Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"DNA; DNA repair; Computational biology; DNA damage; Biology; Genome; Cell biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556154,0.0003186982,0.0006132118,0.00006927678,0.00006016181,0.0000322337,0.0004499641,0.0003593242,0.0000556578],"category_scores_gemma":[0.0002803572,0.0002227955,0.0002900118,0.0001861819,0.00006732073,0.000001060628,0.0002530433,0.0002665652,0.00001568574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002686186,"about_ca_system_score_gemma":0.0001033285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000271586,"about_ca_topic_score_gemma":0.00004446109,"domain_scores_codex":[0.9980478,0.0007521425,0.0003678796,0.0004446413,0.00008710063,0.0003003914],"domain_scores_gemma":[0.9990152,0.0001290133,0.0001035481,0.0006657853,0.00003257665,0.00005387719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004318825,0.0000254598,0.00000635708,0.002377104,0.0001479195,0.00000599027,0.0002645232,0.000006835767,0.006158236,0.00001724784,0.003581729,0.9874043],"study_design_scores_gemma":[0.00006823055,0.00004921431,0.000003900591,0.0007302456,0.000127793,0.0000210726,0.00005116981,0.00001654387,0.007500303,0.00001133778,0.9911504,0.0002697566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006472997,0.9684009,0.02973827,0.00001059602,0.0004162275,0.0003472246,0.00001217702,0.00001175498,0.0009981416],"genre_scores_gemma":[0.00001274094,0.9705193,0.02729456,0.00005085133,0.0006436237,0.00009256871,0.00003884038,0.00006417667,0.001283344],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875687,"threshold_uncertainty_score":0.9085338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731361266106838,"score_gpt":0.4819024155868326,"score_spread":0.4245888029257642,"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."}}