{"id":"W3217297036","doi":"10.1016/j.tpb.2022.10.002","title":"The best of both worlds: Combining population genetic and quantitative genetic models","year":2022,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Agence Nationale de la Recherche; European Commission","keywords":"Population; Genetic model; Evolutionary biology; Biology; Computer science; Genetics; Demography; Sociology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003210614,0.0001340778,0.0001672595,0.00005462085,0.0003556689,0.00001166477,0.0001745256,0.00009229311,0.00003923611],"category_scores_gemma":[0.0001012217,0.0001122013,0.00005836356,0.0001179691,0.0004806144,0.000002894703,0.0002345463,0.0001183357,0.000001475972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012829,"about_ca_system_score_gemma":0.00001808638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115186,"about_ca_topic_score_gemma":0.00006062584,"domain_scores_codex":[0.9985318,0.0004363706,0.000383861,0.0002992858,0.0001229212,0.0002258176],"domain_scores_gemma":[0.9993625,0.00009060141,0.0001618902,0.0002714617,0.00005343699,0.00006014042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002063321,0.00005723252,0.0595648,0.000007724436,0.00003931774,4.171653e-7,0.00007711426,0.02194645,0.007564477,0.9068876,0.00003653053,0.003612017],"study_design_scores_gemma":[0.000919999,0.001637673,0.1796451,0.000008200806,0.00006523899,0.00004286422,0.0005383646,0.2126961,0.0001448104,0.6033152,0.000611408,0.0003750542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746253,0.001674583,0.02252301,0.0002334282,0.0001623664,0.0002361729,0.00003977266,0.00001185175,0.0004935419],"genre_scores_gemma":[0.9958076,0.0002273636,0.00336523,0.0001266468,0.00003869108,0.00003258422,0.0003002477,0.00001920821,0.00008240186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035724,"threshold_uncertainty_score":0.4575434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300158336560553,"score_gpt":0.281753685658338,"score_spread":0.2687521022927325,"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."}}