{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008481285,0.002333734,0.001433434,0.004068151,0.001044436,0.00223931,0.001842494,0.00106529,0.006320196],"category_scores_gemma":[0.02050305,0.0007886453,0.001623091,0.002608784,0.00094526,0.001493496,0.002413113,0.002034143,0.003162389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105773,"about_ca_system_score_gemma":0.001555092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233979,"about_ca_topic_score_gemma":0.002048822,"domain_scores_codex":[0.9935368,0.001259519,0.0007339701,0.001561564,0.002639089,0.0002691631],"domain_scores_gemma":[0.9905034,0.003427262,0.001069078,0.003009562,0.00172009,0.0002705622],"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":[0.001795872,0.0005441827,0.02956886,0.002179396,0.001156697,0.0006481586,0.0007191183,0.05241829,0.4532338,0.01948475,0.02696277,0.4112881],"study_design_scores_gemma":[0.0001564328,0.0009537592,0.02487094,0.0001841432,0.0003077419,0.001088893,0.0002061075,0.2785008,0.6267697,0.02372155,0.04281265,0.0004272872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03685567,0.0002507684,0.9051812,0.0001570868,0.0001052354,0.0003629685,0.008949012,0.04519104,0.002947135],"genre_scores_gemma":[0.2036851,0.0003031112,0.7634104,0.0003332428,0.00004544346,0.002422919,0.01718283,0.009671855,0.00294504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008481285,"threshold_uncertainty_score":0.04485381,"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."}}