{"id":"W2565729030","doi":"10.1534/g3.116.036152","title":"Genomics of Compensatory Adaptation in Experimental Populations of <i>Aspergillus nidulans</i>","year":2017,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ontario Genomics; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Aspergillus nidulans; Adaptation (eye); Genetics; Experimental evolution; Whole genome sequencing; Gene; Genome; Genetic Fitness; Mutation; Genomics; Evolutionary biology; Mutant","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":[0.0003722086,0.000232211,0.0002701297,0.0003388454,0.0002470123,0.0003001507,0.0004658869,0.0003298466,0.0004330321],"category_scores_gemma":[0.000527363,0.0001640981,0.0003548891,0.0002425376,0.0002834417,0.0001137449,0.0003859142,0.0005656308,0.00007635188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240898,"about_ca_system_score_gemma":0.0001867644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002683911,"about_ca_topic_score_gemma":0.003648859,"domain_scores_codex":[0.9997051,0.00005401559,0.00003846469,0.00009782992,0.00007152947,0.00003301702],"domain_scores_gemma":[0.9994972,0.000158012,0.0001235722,0.00007814966,0.00007371304,0.00006938569],"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":[0.0001528692,0.00007211628,0.006301309,0.00002774675,0.00004454019,0.00007107083,0.00004031949,0.0004923497,0.9901939,0.0001122132,0.00003189504,0.002459794],"study_design_scores_gemma":[0.0001069511,0.001659989,0.5261062,0.00002630211,0.0001496943,0.00130401,0.0004532804,0.01426901,0.4523496,0.000381041,0.003107191,0.00008672005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998372,0.00005820758,0.0009882005,0.00001595661,0.000004483648,0.0000182359,0.0003241049,0.00002125089,0.0001975199],"genre_scores_gemma":[0.9950788,0.00006402416,0.002997489,0.00005753787,0.000003193058,0.00005561587,0.001312832,0.00002835833,0.000402142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002683911,"threshold_uncertainty_score":0.005336642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963810057836638,"score_gpt":0.2895801550209888,"score_spread":0.2599420544426224,"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."}}