{"id":"W4327906296","doi":"10.1101/2023.03.16.532996","title":"Conditionally deleterious mutation load accumulates in genomic islands but can be purged with sufficient genotypic redundancy","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Mount Royal University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Universities Space Research Association","keywords":"Biology; Maladaptation; Local adaptation; Genetics; Locus (genetics); Balancing selection; Allele; Genotype; Phenotype; Redundancy (engineering); Adaptation (eye); Genetic load; Population; Evolutionary biology; Gene; Computer science","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":[0.0003041336,0.0002223873,0.0005385276,0.0002440512,0.0003549107,0.0005545219,0.0005070654,0.000403125,0.001753299],"category_scores_gemma":[0.001685538,0.0002141998,0.0002660461,0.0001786816,0.0007839327,0.0005765848,0.0005493645,0.0006578094,0.0001477345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635058,"about_ca_system_score_gemma":0.0004525932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014015,"about_ca_topic_score_gemma":0.002072387,"domain_scores_codex":[0.9998834,0.0000250274,0.000006051122,0.00002656617,0.00002252355,0.00003635046],"domain_scores_gemma":[0.9993743,0.0002494311,0.00009852962,0.0001041244,0.00004592723,0.0001276302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005602666,0.0003413264,0.02020583,0.0003249977,0.0002884275,0.001090279,0.000259197,0.7265143,0.2211102,0.01653561,0.001639742,0.01112979],"study_design_scores_gemma":[0.0001023086,0.0002716916,0.00820434,0.00001843499,0.00006969643,0.0001632487,0.0001307373,0.9564234,0.02607009,0.007468523,0.001040124,0.0000372705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952043,0.00005025569,0.003541996,0.00009576829,0.00001367856,0.000005053056,0.00003847083,0.00007817058,0.0009723904],"genre_scores_gemma":[0.9987566,0.00002261839,0.0009207928,0.00002311058,0.000002250841,0.000008104279,0.00002988042,0.00001719646,0.0002193415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002014015,"threshold_uncertainty_score":0.005865395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121010171880988,"score_gpt":0.2265741229775592,"score_spread":0.2144731057894604,"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."}}