{"id":"W3012015863","doi":"10.1158/1535-7163.targ-19-pl03-03","title":"Abstract PL03-03: Navigating gene-gene and drug-gene interaction landscapes underpinning the DNA damage response","year":2019,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Gene; Genome; Computational biology; Genome editing; Biology; Cancer; Drug response; Human genome; CRISPR; DNA; Genetics; Drug; Pharmacology","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":[0.0004448229,0.0005729618,0.0004567437,0.0005507085,0.0004787089,0.001962167,0.0007447795,0.0008283652,0.02616028],"category_scores_gemma":[0.0003177171,0.0002754768,0.0003385859,0.0004076854,0.0006065103,0.0005591295,0.0007127268,0.001620986,0.008918879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540821,"about_ca_system_score_gemma":0.0007949762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048852,"about_ca_topic_score_gemma":0.002114443,"domain_scores_codex":[0.9997624,0.00003337313,0.00001179624,0.00004655155,0.0001055438,0.00004030792],"domain_scores_gemma":[0.9998461,0.00003036815,0.00002478789,0.00001384612,0.00003187785,0.00005308724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005623112,0.0001459928,0.0003377677,0.0004980589,0.00002525117,0.0005045219,0.00006636341,0.001643517,0.7329884,0.01776283,0.1508179,0.09464724],"study_design_scores_gemma":[0.0001889542,0.0004654991,0.001818541,0.00007795066,0.00003306855,0.001542422,0.000066078,0.003970858,0.4908685,0.004798784,0.4961287,0.00004067474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1723544,0.0745611,0.2052125,0.06085261,0.01402805,0.001384779,0.02242887,0.01905222,0.4301256],"genre_scores_gemma":[0.4737073,0.03986692,0.07365352,0.009490712,0.001450923,0.0005197231,0.01129015,0.001398186,0.3886226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02616028,"threshold_uncertainty_score":0.08751482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100932285960685,"score_gpt":0.3098754761109889,"score_spread":0.298866153251382,"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."}}