{"id":"W4377086571","doi":"10.1016/j.cels.2023.04.003","title":"Reproducibility metrics for context-specific CRISPR screens","year":2023,"lang":"en","type":"article","venue":"Cell Systems","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Ontario Research Foundation; Canada Research Chairs; National Human Genome Research Institute; GlaxoSmithKline; National Institutes of Health; National Science Foundation","keywords":"CRISPR; Reproducibility; Context (archaeology); Computational biology; Computer science; Biology; Genetics; Mathematics; Statistics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02491992,0.002015754,0.002382063,0.007304638,0.001362955,0.003691825,0.002873147,0.002123222,0.002332674],"category_scores_gemma":[0.1153827,0.0007375199,0.002185475,0.005097532,0.001412198,0.003120253,0.003071465,0.001785624,0.0009950518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044437,"about_ca_system_score_gemma":0.002330892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001769767,"about_ca_topic_score_gemma":0.002753528,"domain_scores_codex":[0.9592931,0.01006107,0.005431508,0.006681701,0.01719796,0.001334597],"domain_scores_gemma":[0.80862,0.1090569,0.01672633,0.03670576,0.02628271,0.002608385],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002317559,0.0007953136,0.1109685,0.003645011,0.003032243,0.001054617,0.0008350633,0.2670872,0.1767596,0.03533471,0.0146501,0.3835201],"study_design_scores_gemma":[0.0002094796,0.002233241,0.05605256,0.0005050064,0.001380146,0.002573039,0.0003905629,0.6473256,0.2109949,0.05735039,0.02048719,0.0004978925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1436134,0.003380686,0.8200216,0.00042621,0.0002738934,0.0005243452,0.0085056,0.01572312,0.007531104],"genre_scores_gemma":[0.6766211,0.0007801843,0.3018833,0.0002766877,0.0001461245,0.0009930534,0.01447814,0.002891548,0.00192986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9750801,"threshold_uncertainty_score":0.1317908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097819966375175,"score_gpt":0.3099705553019095,"score_spread":0.2789923556381577,"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."}}