{"id":"W2033351747","doi":"10.1534/genetics.106.062406","title":"The Distribution of Beneficial Mutant Effects Under Strong Selection","year":2006,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Selection (genetic algorithm); Fixation (population genetics); Genetics; Neutral mutation; Mutant; Evolutionary biology; Distribution (mathematics); Allele; Population; Natural selection; Mutation; Genetic drift; Genetic variation; Gene; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009605993,0.00009595454,0.0000710253,0.00001117779,0.00013658,0.00001501395,0.0001045995,0.0001070905,0.0000019569],"category_scores_gemma":[0.00001973035,0.00007983246,0.00006078414,0.00008696036,0.00008344449,7.973435e-7,0.0000454097,0.00004976316,0.000002893552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001986058,"about_ca_system_score_gemma":0.00005288619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002093546,"about_ca_topic_score_gemma":0.0004333107,"domain_scores_codex":[0.999299,0.00004344259,0.000183854,0.0001562634,0.0001267771,0.0001906536],"domain_scores_gemma":[0.9996008,0.00001452588,0.0000791225,0.0001786922,0.00009947875,0.00002736949],"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":[0.00006100078,0.0001043197,0.008399092,0.00002460328,0.00004920468,3.525424e-7,0.000006845584,0.07245801,0.9018114,0.01012728,0.00241852,0.004539368],"study_design_scores_gemma":[0.000971109,0.0006772787,0.2266048,0.00001225545,0.00008225386,0.00002075943,0.00006839447,0.02299595,0.7043945,0.002988971,0.04081741,0.0003663436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195175,0.0008877619,0.07890549,0.00007305025,0.0001758168,0.0001321695,0.00002534344,0.000008686422,0.0002742286],"genre_scores_gemma":[0.9987091,0.0001593862,0.0003451794,0.00002093678,0.0002440696,0.000006894206,0.0002507762,0.00001175333,0.0002519117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2182057,"threshold_uncertainty_score":0.3255473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00303357075860976,"score_gpt":0.2178527743633168,"score_spread":0.2148192036047071,"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."}}