{"id":"W4318263083","doi":"10.1111/mec.16863","title":"Genomic health is dependent on long‐term population demographic history","year":2023,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec; Université Laval; Ministère des Ressources naturelles et des Forêts; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biology; Term (time); Demographic history; Evolutionary biology; Population; Genetics; Demography; Genetic variation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008279991,0.0001872874,0.0001947231,0.0007100384,0.0002521959,0.0007333398,0.0002475027,0.000306558,0.001660703],"category_scores_gemma":[0.001972753,0.0001152538,0.0001358981,0.0005038869,0.0006167181,0.0005832365,0.0004582747,0.0003413754,0.0002168256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637009,"about_ca_system_score_gemma":0.0001355746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251269,"about_ca_topic_score_gemma":0.00189047,"domain_scores_codex":[0.9996427,0.00009391318,0.00002050882,0.0001427537,0.00005585119,0.00004423787],"domain_scores_gemma":[0.9979746,0.0008216131,0.0006805811,0.0002083555,0.0001915012,0.0001233648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001997388,0.00005881598,0.8898405,0.00007035283,0.0002755237,0.0002162276,0.0005492629,0.001885353,0.07755669,0.001096789,0.0002466619,0.02800404],"study_design_scores_gemma":[0.000001585914,0.0001019443,0.9945235,0.00001002572,0.00003513993,0.0002003383,0.0002684327,0.001827517,0.001614552,0.0008729661,0.0005334529,0.00001047199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995334,0.0003580539,0.002982548,0.00005797857,0.000005197856,0.000004117733,0.0003270278,0.00001981536,0.0009112728],"genre_scores_gemma":[0.9990964,0.00007313526,0.0004273348,0.00002444977,0.000005496003,0.000005129752,0.0001724043,0.000004874467,0.0001907468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001660703,"threshold_uncertainty_score":0.00555563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566003700249613,"score_gpt":0.2694346539765975,"score_spread":0.2537746169741014,"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."}}