{"id":"W2195849364","doi":"10.1186/s12864-015-2253-2","title":"Rapid Increase in frequency of gene copy-number variants during experimental evolution in Caenorhabditis elegans","year":2015,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation","keywords":"Biology; Caenorhabditis elegans; Genetics; Experimental evolution; Copy-number variation; Caenorhabditis; Gene; DNA microarray; Gene dosage; Evolutionary biology; Computational biology; Genome; Gene expression","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":[0.0004943457,0.0002720726,0.0002640485,0.0005777518,0.0003959324,0.0002647806,0.0004009996,0.0004516011,0.0007593579],"category_scores_gemma":[0.001008531,0.0001780196,0.0003228312,0.0002719357,0.0004058449,0.0002346708,0.000515628,0.0006500305,0.00007032948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005926808,"about_ca_system_score_gemma":0.0001678656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008032972,"about_ca_topic_score_gemma":0.001942404,"domain_scores_codex":[0.9995928,0.00006433637,0.00004904359,0.0001303522,0.0001179556,0.00004539022],"domain_scores_gemma":[0.9991531,0.0003654255,0.0001861068,0.0001305036,0.0000781025,0.00008676669],"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":[0.0001656951,0.00008833821,0.01068245,0.00004529996,0.00004309015,0.000145202,0.00005521836,0.0002660101,0.985408,0.00006398195,0.00002789987,0.003008754],"study_design_scores_gemma":[0.00006531752,0.001436567,0.5402108,0.00002979006,0.0001591807,0.001662906,0.000146918,0.006364319,0.4482459,0.0002384401,0.001380824,0.00005909252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983712,0.0001208218,0.001042546,0.00001622006,0.000004904523,0.00002649995,0.0001286141,0.00002130147,0.0002680047],"genre_scores_gemma":[0.9973834,0.00009917293,0.00179241,0.00005019876,0.000004872635,0.00007674732,0.0002994803,0.00001790703,0.0002758845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008032972,"threshold_uncertainty_score":0.004300177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306429249691543,"score_gpt":0.2262116472742537,"score_spread":0.2131473547773382,"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."}}