{"id":"W3161985476","doi":"10.15252/msb.202010013","title":"A method for benchmarking genetic screens reveals a predominant mitochondrial bias","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canada Research Chairs; Deutsche Forschungsgemeinschaft; Ontario Research Foundation; Canadian Institutes of Health Research; Genome Canada; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Biology; Benchmarking; Mitochondrial DNA; Genetics; Computational biology; Evolutionary biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004279861,0.0003238074,0.0005348838,0.00009669911,0.0001417574,0.00004859585,0.0002479875,0.0006278263,0.00007362122],"category_scores_gemma":[0.0005764225,0.0003108423,0.0003583076,0.0001727325,0.00007974503,0.00000241942,0.000172614,0.0001312804,0.00002174178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394969,"about_ca_system_score_gemma":0.0002025068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006852279,"about_ca_topic_score_gemma":0.00005860703,"domain_scores_codex":[0.9965978,0.001074926,0.0006096573,0.001033944,0.000109627,0.0005741054],"domain_scores_gemma":[0.998399,0.0000950906,0.0002382626,0.0007547133,0.0003527844,0.000160171],"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":[0.0002123084,0.00004890406,0.0005939832,0.00006239831,0.0001624296,0.00006613927,0.00002494915,0.0002206605,0.9892583,0.002067333,0.004875366,0.002407161],"study_design_scores_gemma":[0.003211565,0.001581964,0.0001592359,0.0000694673,0.0001733508,0.001475647,0.0001172877,0.001882768,0.3986014,0.0004824559,0.5914632,0.0007816506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06767268,0.004413175,0.9223732,0.0001819353,0.00350168,0.000975579,0.000157734,0.00003147607,0.0006924924],"genre_scores_gemma":[0.2927649,0.000329953,0.6836815,0.002842957,0.007899458,0.001756323,0.003090821,0.0002316083,0.007402473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.590657,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434125991962077,"score_gpt":0.2960453861027937,"score_spread":0.271704126183173,"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."}}