{"id":"W4221076958","doi":"10.1158/1538-7445.sabcs21-ms1-1","title":"Abstract MS1-1: CRISPR screens to identify novel DNA repair defects synthetic lethal therapies","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"CRISPR; Synthetic lethality; Computational biology; DNA repair; Biology; Context (archaeology); Cancer; Chromatin; Genetics; Cancer research; DNA; 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":[0.0003647331,0.0008346082,0.0006052624,0.0009362065,0.0003604807,0.0006327743,0.0005540557,0.0005939153,0.006368677],"category_scores_gemma":[0.0002306305,0.0002475778,0.0003584956,0.0003625897,0.0003445895,0.0001707,0.0004989616,0.0009965597,0.001119937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007673985,"about_ca_system_score_gemma":0.0004534469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000997359,"about_ca_topic_score_gemma":0.002217913,"domain_scores_codex":[0.9995548,0.00006219618,0.00003612873,0.00008141432,0.0002143996,0.00005109843],"domain_scores_gemma":[0.9998019,0.00006568313,0.0000499578,0.00001620558,0.00002398712,0.00004234178],"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":[0.0002137566,0.00008417894,0.0002891799,0.00007892796,0.00001899691,0.0002192004,0.00002353956,0.0009110186,0.9866506,0.0009722717,0.001879356,0.008658949],"study_design_scores_gemma":[0.00006283747,0.0005480454,0.001398649,0.00001724305,0.00004569396,0.000755236,0.00002982931,0.002711573,0.9726576,0.0002370916,0.02151755,0.00001862735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972674,0.005047318,0.1030118,0.003034035,0.0007711463,0.00200392,0.02198919,0.007138401,0.05973685],"genre_scores_gemma":[0.9067506,0.002291455,0.04331065,0.0007455806,0.000071769,0.0007145318,0.005491195,0.0006043132,0.04001997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006368677,"threshold_uncertainty_score":0.02130532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05246282546040411,"score_gpt":0.4355452916716467,"score_spread":0.3830824662112426,"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."}}