{"id":"W4224033732","doi":"10.1101/2022.04.13.488115","title":"CRISPR screens reveal genetic determinants of PARP inhibitor sensitivity and resistance in prostate cancer","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver General Hospital","funders":"National Cancer Institute","keywords":"CRISPR; RAD51; Biology; DNA repair; Poly ADP ribose polymerase; CHEK2; Genetics; Cancer research; Prostate cancer; PARP inhibitor; DNA damage; Gene; Synthetic lethality; DNA Damage Repair; Mutation; Cancer; DNA; Germline mutation","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":[0.0001671005,0.0003612896,0.0003184051,0.0003279108,0.0002128214,0.0004854989,0.0002716776,0.0003982406,0.002786622],"category_scores_gemma":[0.0001990094,0.0001854353,0.0002390889,0.0002150162,0.0002130197,0.0001056495,0.0003980326,0.0007002848,0.000785285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221394,"about_ca_system_score_gemma":0.0002225799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008714989,"about_ca_topic_score_gemma":0.001778323,"domain_scores_codex":[0.9997985,0.00002392578,0.00001594906,0.00004703107,0.0000797209,0.00003487335],"domain_scores_gemma":[0.9998562,0.00004894533,0.00003360636,0.00001795716,0.00001161375,0.0000316102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001091971,0.00003204245,0.0008252328,0.00004599904,0.00002205926,0.0001818763,0.00001482707,0.0006599105,0.9926958,0.0003679792,0.0006020142,0.004443144],"study_design_scores_gemma":[0.00002948403,0.0002057416,0.01203542,0.00001349687,0.000058424,0.001140561,0.00004306269,0.006193557,0.9672867,0.0002979444,0.012672,0.00002357169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499459,0.001875895,0.02728027,0.000673185,0.0001293282,0.00009953237,0.007354037,0.002714681,0.009927331],"genre_scores_gemma":[0.9827785,0.0006076944,0.007747076,0.0002136317,0.00001346191,0.0000382458,0.002268238,0.0002246118,0.00610855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002786622,"threshold_uncertainty_score":0.009322226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844484600970496,"score_gpt":0.2773447686780712,"score_spread":0.2588999226683663,"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."}}