{"id":"W2162082393","doi":"10.1086/660911","title":"A Unified Approach to the Evolutionary Consequences of Genetic and Nongenetic Inheritance","year":2011,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":319,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inheritance (genetic algorithm); Mendelian inheritance; Biology; Epigenetics; Generality; Transgenerational epigenetics; Evolutionary biology; Genetics; Heredity; Non-Mendelian inheritance; Selection (genetic algorithm); Genetic model; Gene; 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":[0.0001204848,0.0001112989,0.0001216491,0.00002164599,0.0001021507,0.000007715264,0.0003619318,0.00003146604,0.000004837855],"category_scores_gemma":[0.00004847184,0.00006692123,0.00004188558,0.0002141956,0.001238149,0.000001442597,0.0001233947,0.00007740473,0.000004624004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007231733,"about_ca_system_score_gemma":0.00004839692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004232242,"about_ca_topic_score_gemma":0.00009294294,"domain_scores_codex":[0.9992284,0.0001185012,0.0001576048,0.00022552,0.0001099302,0.0001600527],"domain_scores_gemma":[0.9993147,0.00001510267,0.0001188707,0.000421281,0.00007564551,0.00005438487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002092803,0.0007771213,0.08267018,0.000144362,0.0008070311,0.000009106136,0.006635495,0.003238761,0.8165638,0.02214917,0.03343397,0.03147819],"study_design_scores_gemma":[0.0004018288,0.000548645,0.9751424,0.00001304916,0.0000734018,0.0001839893,0.00165681,0.001535082,0.006288167,0.0008745465,0.01287651,0.0004056205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907063,0.002886491,0.001594403,0.0006682508,0.00006083376,0.0002550071,0.00002671882,0.000008094396,0.003793905],"genre_scores_gemma":[0.989031,0.0003830054,0.009079664,0.001004397,0.0000497526,0.00002240523,0.00001153074,0.00001025975,0.0004079579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8924721,"threshold_uncertainty_score":0.4562013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520408700463,"score_gpt":0.2379298399750433,"score_spread":0.2227257529704133,"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."}}