{"id":"W4311545022","doi":"10.1101/gr.276988.122","title":"Genome sequencing of<i>C. elegans</i>balancer strains reveals previously unappreciated complex genomic rearrangements","year":2022,"lang":"en","type":"article","venue":"Genome Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Children's Hospital Research Institute; Compute Canada; National Institutes of Health; University of Calgary","keywords":"Biology; Caenorhabditis elegans; Genome; CRISPR; Genetics; Cas9; Mutagenesis; Caenorhabditis; Genetic screen; Computational biology; Epistasis; Gene; Mutation; Phenotype","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":[0.0002381077,0.0005524326,0.0003596958,0.0005935215,0.0003676851,0.0004313378,0.0003211808,0.000461608,0.001158235],"category_scores_gemma":[0.0003408104,0.0002315365,0.0005399514,0.0004671432,0.0002966611,0.0002445439,0.0003040284,0.0007552415,0.0006257181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367566,"about_ca_system_score_gemma":0.0002778789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919511,"about_ca_topic_score_gemma":0.003594964,"domain_scores_codex":[0.9997457,0.000008924811,0.00002322028,0.0001025415,0.00008930265,0.0000303391],"domain_scores_gemma":[0.9996688,0.00004790721,0.0001374894,0.00004294661,0.00006334834,0.00003934093],"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":[0.00004441897,0.00001276516,0.001290166,0.00007930507,0.00001669555,0.0001406076,0.00003942812,0.0001667392,0.9928408,0.000113949,0.0001501014,0.005105153],"study_design_scores_gemma":[0.00001819198,0.0002311285,0.08915605,0.0000884008,0.000138353,0.0009681076,0.000127957,0.003055237,0.8902673,0.0002679538,0.01561589,0.00006551921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478195,0.001116298,0.03416278,0.0001360148,0.00008051413,0.0001480795,0.01274501,0.0009851349,0.002806645],"genre_scores_gemma":[0.8949613,0.001484671,0.07252178,0.0003792644,0.00002381601,0.0002231095,0.02484996,0.0008762046,0.004679955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001919511,"threshold_uncertainty_score":0.003874719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06587358800998555,"score_gpt":0.3795140408951907,"score_spread":0.3136404528852051,"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."}}