{"id":"W3081992227","doi":"10.1101/2020.08.31.273730","title":"Major functional bias for mitochondrial complexes in genome-wide CRISPR screens","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CRISPR; Computational biology; Pipeline (software); Computer science; Benchmarking; Annotation; Genome; Biology; Genetics; Gene","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":[0.003734714,0.0009869048,0.0009134084,0.0009551392,0.0007714288,0.001821207,0.0007870927,0.00101356,0.004172453],"category_scores_gemma":[0.006952313,0.0005053048,0.0007255228,0.0007607294,0.0008353852,0.0008185066,0.001440702,0.001666715,0.001205203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007730327,"about_ca_system_score_gemma":0.0004786234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006983795,"about_ca_topic_score_gemma":0.002465506,"domain_scores_codex":[0.9943591,0.000826669,0.0005274882,0.002154075,0.001756315,0.0003763084],"domain_scores_gemma":[0.9935412,0.002979984,0.0008496882,0.001739832,0.0005460876,0.0003430583],"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":[0.0003102173,0.00004107382,0.00345328,0.0001909953,0.00008123765,0.000148799,0.00006596227,0.0007086545,0.9840479,0.001044201,0.0006414179,0.009266189],"study_design_scores_gemma":[0.00003334764,0.0002571641,0.02304304,0.00005190289,0.0001718392,0.001132303,0.00006801899,0.006008895,0.9593828,0.001975647,0.007820864,0.00005415035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7700722,0.002595256,0.1985462,0.001009193,0.0003155781,0.0001970553,0.008538892,0.009888897,0.008836729],"genre_scores_gemma":[0.9454589,0.0006594996,0.04251486,0.001360867,0.00002676884,0.000214205,0.004966492,0.002233308,0.002564971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004172453,"threshold_uncertainty_score":0.01975125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358425797234212,"score_gpt":0.244008982857703,"score_spread":0.2081664031342818,"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."}}