{"id":"W4234697648","doi":"10.3410/f.733574619.793565198","title":"Faculty Opinions recommendation of CRISPR screens identify genomic ribonucleotides as a source of PARP-trapping lesions.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Science Foundation; Canadian Institutes of Health Research; U.S. Department of Defense; European Commission; Prostate Cancer Foundation; Movember Foundation; Prostate Cancer UK; Cancer Research UK; Stand Up To Cancer; Krembil Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Olaparib; CRISPR; DNA repair; Biology; PARP inhibitor; PARP1; Poly ADP ribose polymerase; Polymerase; DNA damage; Cancer research; Genome instability; Nucleotide excision repair; DNA; Gene; Molecular biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003163879,0.001326905,0.001521167,0.002923882,0.00116992,0.002358456,0.002797775,0.001689892,0.09475072],"category_scores_gemma":[0.01302631,0.000608574,0.001280231,0.004529377,0.0005147919,0.001058809,0.002106351,0.001810083,0.06664717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463159,"about_ca_system_score_gemma":0.004604785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009718962,"about_ca_topic_score_gemma":0.0318563,"domain_scores_codex":[0.9976058,0.0005088713,0.0003270243,0.0007260542,0.0005269895,0.0003052833],"domain_scores_gemma":[0.994428,0.001968273,0.0006729325,0.001372471,0.0009881319,0.0005701358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00047809,0.00006031612,0.005151865,0.00332299,0.0002239328,0.00008015746,0.00009464702,0.0004387184,0.00226163,0.00160491,0.9792004,0.007082309],"study_design_scores_gemma":[0.0005407503,0.00006139163,0.009633947,0.0005811847,0.0001763324,0.0001068244,0.0001026112,0.0003958017,0.003049784,0.001860925,0.9834507,0.00003980698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003306006,0.00008525349,0.0002638167,0.00008806272,0.00003278563,0.00004334291,0.9973659,0.0005043187,0.001285949],"genre_scores_gemma":[0.001090609,0.00008128849,0.001442981,0.0001267931,0.000008094436,0.0002938964,0.9955973,0.000191434,0.001167694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09475072,"threshold_uncertainty_score":0.3169727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05944328981461636,"score_gpt":0.405751101153554,"score_spread":0.3463078113389376,"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."}}