{"id":"W2767062173","doi":"10.1007/978-1-4939-7435-1_1","title":"Noncoding RNAs in DNA Damage Response: Opportunities for Cancer Therapeutics","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"DNA damage; Long non-coding RNA; Cancer research; DNA; Computational biology; Cancer; Biology; RNA; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040011,0.0005204619,0.0005207264,0.0004404169,0.0003822169,0.001446099,0.000586145,0.001085481,0.004613385],"category_scores_gemma":[0.0005819901,0.0002164435,0.0003076879,0.0003224476,0.0009835862,0.001638092,0.0006912763,0.002027897,0.001212293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576214,"about_ca_system_score_gemma":0.0007257921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972879,"about_ca_topic_score_gemma":0.0004612579,"domain_scores_codex":[0.999804,0.0000609004,0.00001054958,0.0000369726,0.00004725581,0.00004043172],"domain_scores_gemma":[0.999582,0.0002032388,0.00005247551,0.0000456344,0.00005255814,0.00006413885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001083794,0.0005838412,0.0009871908,0.001558729,0.00005272212,0.0004558625,0.0002773555,0.001806168,0.3250329,0.135795,0.01798899,0.5143775],"study_design_scores_gemma":[0.0003229948,0.002304434,0.002388941,0.0006987687,0.0001548841,0.001511074,0.0004878712,0.004872019,0.3239597,0.1110544,0.5521396,0.0001051993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06546053,0.7791578,0.07873003,0.03111403,0.004535032,0.0001807683,0.0005335714,0.0007083221,0.03957992],"genre_scores_gemma":[0.4231679,0.4895796,0.04310663,0.007385602,0.003499975,0.000397983,0.0005567902,0.0001987737,0.03210676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004613385,"threshold_uncertainty_score":0.01543337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214780412267881,"score_gpt":0.4578582580643061,"score_spread":0.3363802168375181,"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."}}