{"id":"W2727479110","doi":"10.1534/g3.117.041277","title":"Evaluation and Design of Genome-Wide CRISPR/SpCas9 Knockout Screens","year":2017,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":681,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"CRISPR; Computational biology; Genome; Genome editing; Computer science; Genetics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003003853,0.001026802,0.00123286,0.001000808,0.0003983619,0.0008279537,0.001133966,0.0005703111,0.0008273314],"category_scores_gemma":[0.003158,0.0005277809,0.0005521786,0.0006836405,0.0003675387,0.0003723788,0.0008070085,0.0008657146,0.0004378633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009431006,"about_ca_system_score_gemma":0.001071329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450857,"about_ca_topic_score_gemma":0.003722333,"domain_scores_codex":[0.9975973,0.0004970639,0.0002912875,0.0004341319,0.0009628467,0.0002174958],"domain_scores_gemma":[0.9984347,0.0006106609,0.0002164457,0.0002210738,0.0003679123,0.0001490766],"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":[0.0002624074,0.0002455449,0.002612142,0.0002159705,0.00009120595,0.0001515116,0.00005528762,0.02207226,0.9573731,0.0004376127,0.0002721539,0.01621081],"study_design_scores_gemma":[0.0000645019,0.001100335,0.005923619,0.0000198162,0.0001137368,0.0002429068,0.00005559065,0.03484283,0.9536403,0.0002074091,0.003741906,0.00004713824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7762485,0.0009841972,0.2119227,0.0001497667,0.00004198026,0.002078441,0.004410576,0.0022099,0.001953932],"genre_scores_gemma":[0.7174554,0.001525886,0.2695979,0.000158931,0.000007302782,0.00178098,0.007164205,0.0006166649,0.001692641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003003853,"threshold_uncertainty_score":0.01588607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263420924424068,"score_gpt":0.3325893142823756,"score_spread":0.2999551050381349,"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."}}