{"id":"W2886392109","doi":"10.1111/evo.13553","title":"Mutation accumulation in selfing populations under fluctuating selection","year":2018,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selfing; Biology; Selection (genetic algorithm); Background selection; Fixation (population genetics); Evolutionary biology; Negative selection; Genetics; Frequency-dependent selection; Mutation rate; Genome; Gene; Population","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":[0.0007056661,0.0002145579,0.0003812706,0.0004246222,0.0003928053,0.0007594429,0.0005323653,0.0004761399,0.0007074758],"category_scores_gemma":[0.00233401,0.0001706906,0.0004222697,0.000327798,0.0008021676,0.0006488353,0.0005163623,0.0004878301,0.00007522446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006534312,"about_ca_system_score_gemma":0.0003501329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353533,"about_ca_topic_score_gemma":0.002753517,"domain_scores_codex":[0.9998074,0.00006933174,0.00001440537,0.00003952906,0.00003150933,0.00003786146],"domain_scores_gemma":[0.9992242,0.0003380096,0.0001740905,0.00006784404,0.00006552409,0.0001302871],"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":[0.0002852573,0.0001787028,0.08070423,0.00009416114,0.0001940357,0.0007877011,0.00037538,0.8514535,0.04778147,0.01014804,0.0003727011,0.007624809],"study_design_scores_gemma":[0.00008526754,0.0004060925,0.03056534,0.00001697266,0.00009287985,0.0002622605,0.0003704564,0.9540783,0.004718505,0.008945647,0.0003978989,0.00006036297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967764,0.00002998536,0.002609837,0.00003510411,0.000004256735,0.000005968509,0.00003056231,0.00002240676,0.0004854576],"genre_scores_gemma":[0.9989787,0.00003114017,0.0007960705,0.00002041962,0.000001611895,0.00000962911,0.00003485087,0.00000573545,0.0001217862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003353533,"threshold_uncertainty_score":0.006668031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919797959119119,"score_gpt":0.3314311051689343,"score_spread":0.3022331255777431,"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."}}