{"id":"W3044578251","doi":"10.1101/2020.07.28.201152","title":"Combinatorial CRISPR screening reveals functional buffering in autophagy","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Deutsche Forschungsgemeinschaft","keywords":"Guide RNA; Biology; CRISPR; Functional genomics; Computational biology; Gene; Phenotype; Autophagy; Context (archaeology); Genetics; Genome; Genome editing; Genomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459886,0.0004075381,0.0005299205,0.0004915414,0.0002099412,0.0006066232,0.0003458736,0.0003398806,0.001458447],"category_scores_gemma":[0.0003466957,0.0002036663,0.0002857647,0.0002711877,0.0004403724,0.0001599395,0.0005914239,0.0004464297,0.0004566834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572076,"about_ca_system_score_gemma":0.0002327285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002833801,"about_ca_topic_score_gemma":0.0007625395,"domain_scores_codex":[0.99961,0.00006033626,0.00003218578,0.0001077699,0.0001174854,0.00007230139],"domain_scores_gemma":[0.9996754,0.0001166218,0.00006732946,0.00005783745,0.00002665697,0.00005611955],"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":[0.00007445622,0.00001315351,0.0002181528,0.00001748338,0.000007715145,0.00004864367,0.00000721948,0.0004315907,0.9973137,0.0002698602,0.00006058879,0.001537473],"study_design_scores_gemma":[0.000007522704,0.00007038204,0.001278226,0.000002762949,0.00001290405,0.000133209,0.000009649491,0.003062814,0.9942087,0.0002198463,0.0009859138,0.000008170967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656154,0.0003067802,0.02951061,0.0001006905,0.00002522876,0.00004787866,0.000818581,0.001231248,0.002343594],"genre_scores_gemma":[0.9868314,0.0001112301,0.01114483,0.0000659729,0.000005077347,0.00004123324,0.0004017497,0.0001336948,0.001264912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001458447,"threshold_uncertainty_score":0.004878938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142900654382528,"score_gpt":0.2519202845989808,"score_spread":0.237630219160728,"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."}}