{"id":"W4403307776","doi":"10.1093/evlett/qrae051","title":"Indirect genetic effects increase the heritable variation available to selection and are largest for behaviors: a meta-analysis","year":2024,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Deutsche Forschungsgemeinschaft; European Commission","keywords":"Heritability; Biology; Trait; Quantitative genetics; Genetic variation; Meta-analysis; Quantitative trait locus; Evolutionary biology; Variation (astronomy); Selection (genetic algorithm); Genetic correlation; Additive genetic effects; Genetics; Explained variation; Statistics; Gene; Mathematics","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":[0.0003466362,0.0001074821,0.0001881864,0.00004286982,0.000316001,0.0001307984,0.00005978915,0.0000514779,0.0001445135],"category_scores_gemma":[0.00003757011,0.00003899395,0.0002298524,0.0008559171,0.00001785668,0.0001356011,0.00002014164,0.00007226025,0.0000322424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006985692,"about_ca_system_score_gemma":0.000004894966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665205,"about_ca_topic_score_gemma":0.0005462854,"domain_scores_codex":[0.9990834,0.000109745,0.0001268726,0.0003800389,0.0001305124,0.000169443],"domain_scores_gemma":[0.9997081,0.0001094874,0.00004223283,0.00004911531,0.000039734,0.00005132463],"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":[0.00004194571,0.0000745802,0.02837118,0.00003348262,0.00310227,0.000002844773,0.0001444067,0.0005841206,0.9515067,0.00005034763,0.0148095,0.001278571],"study_design_scores_gemma":[0.00004677912,0.0001607544,0.9671515,0.000005145738,0.02470409,0.00000994193,0.00003355618,0.001116185,0.001429751,0.00002878641,0.005143791,0.0001697615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898222,0.001779174,0.001880362,0.005690852,0.0001334664,0.0005499537,0.00003244098,0.000104092,0.000007469436],"genre_scores_gemma":[0.9982184,0.00001200883,0.0002817011,0.0003215422,0.0002376541,0.0002713539,0.00002604109,0.000001629202,0.0006296571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.950077,"threshold_uncertainty_score":0.2517303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495406547652159,"score_gpt":0.2325273021895958,"score_spread":0.2075732367130742,"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."}}