{"id":"W2553573182","doi":"10.1182/blood.v124.21.480.480","title":"Gene Expression and Mutation Analysis (GEMA) –Guided Precision Medicine Targeting PARP1 to Induce Synthetic Lethality in DNA-PK –Deficient Quiescent and BRCA-Deficient Proliferating Leukemia Stem and Progenitor Cells","year":2014,"lang":"en","type":"article","venue":"Blood","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; Princess Margaret Cancer Centre; McGill University; University Health Network","funders":"","keywords":"PARP1; Synthetic lethality; Homologous recombination; Cancer research; Biology; RAD51; DNA repair; DNA damage; Stem cell; Progenitor cell; DNA replication; Molecular biology; DNA; Poly ADP ribose polymerase; Cell biology; Genetics; Polymerase","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":[0.0001698832,0.0002821276,0.0002358858,0.0002499588,0.0001218043,0.0003028795,0.0002586998,0.0003899673,0.001342901],"category_scores_gemma":[0.00007064042,0.0001374922,0.0002822891,0.0001804042,0.0002516708,0.0001630348,0.0001457865,0.0007249598,0.000294237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762883,"about_ca_system_score_gemma":0.0002127828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000446731,"about_ca_topic_score_gemma":0.0004972647,"domain_scores_codex":[0.9998595,0.00001414245,0.00001624636,0.00004201553,0.00004044523,0.00002772318],"domain_scores_gemma":[0.9999462,0.000006836187,0.00001940929,0.000008448966,0.000005419986,0.00001369765],"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":[0.0001026479,0.00005812619,0.0001046828,0.00003573259,0.000007441926,0.00004526889,0.00001771684,0.0002744097,0.9964789,0.0003926327,0.0001586749,0.002323806],"study_design_scores_gemma":[0.00003096276,0.0005014872,0.001070267,0.000004217632,0.00001946601,0.0001297444,0.00001442544,0.002146902,0.9916384,0.00007388588,0.004365964,0.000004274183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785684,0.001607961,0.01402428,0.0003413339,0.0001252247,0.0001743789,0.001344051,0.0005112941,0.003303133],"genre_scores_gemma":[0.9886283,0.0007583274,0.005336556,0.0001014403,0.000008443721,0.0001050584,0.0008548148,0.00003124834,0.004175814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342901,"threshold_uncertainty_score":0.004492402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128597096299526,"score_gpt":0.2454446032413944,"score_spread":0.2341586322783991,"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."}}