{"id":"W2002900988","doi":"10.1038/nrm3350","title":"TFIIH: when transcription met DNA repair","year":2012,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":319,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Cancer Research; Institut National Du Cancer","keywords":"Transcription factor II H; Nucleotide excision repair; Genetics; Biology; Transcription (linguistics); Transcription factor II A; DNA repair; General transcription factor; Cell biology; DNA; Computational biology; Gene; Promoter; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001534206,0.001377036,0.003212414,0.0002613488,0.00009927457,0.00002913667,0.001106092,0.005353788,0.000197519],"category_scores_gemma":[0.0002042174,0.001084889,0.003653229,0.0003379638,0.0001413869,0.000008463941,0.000338107,0.001691537,0.0005127842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045158,"about_ca_system_score_gemma":0.0002565952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003874535,"about_ca_topic_score_gemma":0.000005403762,"domain_scores_codex":[0.9932435,0.002236086,0.00147447,0.001761183,0.0002355276,0.001049286],"domain_scores_gemma":[0.9963255,0.00003505125,0.0009618459,0.002208374,0.0001263646,0.0003428961],"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":[0.00001378609,0.0001392125,9.525681e-7,0.01185341,0.0003966647,0.00002231734,0.00001183975,7.67073e-8,0.08414256,0.0007531329,0.004037778,0.8986283],"study_design_scores_gemma":[0.0002406465,0.0003577526,5.769801e-8,0.001405995,0.002313764,0.00009758154,0.000002119677,3.895338e-7,0.009257202,0.0001174308,0.9851473,0.00105979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001380882,0.9891931,0.001047521,0.00001450965,0.001543705,0.002705397,0.0001279339,0.00012656,0.005227496],"genre_scores_gemma":[0.00005113924,0.983382,0.008371392,0.000765696,0.0008631824,0.0005919015,0.004440785,0.000241285,0.001292599],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9811095,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611854151375692,"score_gpt":0.3059544676977218,"score_spread":0.2798359261839649,"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."}}