{"id":"W2012633345","doi":"10.1016/s0169-5347(02)02601-0","title":"Genetic population divergence: markers and traits","year":2002,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Quantitative trait locus; Evolutionary biology; Biology; Population; Divergence (linguistics); Scopus; Genetic architecture; Genetic divergence; Genetic marker; Genetics; Genetic diversity; Demography; Gene; MEDLINE","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":[0.00005858742,0.00009527031,0.00009073922,0.0001301991,0.00008243801,0.000006421128,0.00006801564,0.0002031124,0.000391456],"category_scores_gemma":[0.00001916657,0.0001065738,0.00003143851,0.0001397737,0.00005664072,0.000004965928,0.00004905773,0.00006328359,0.00001089185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000276905,"about_ca_system_score_gemma":0.000003747865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005339523,"about_ca_topic_score_gemma":0.0006770787,"domain_scores_codex":[0.999299,0.00006704524,0.0001427972,0.0002533987,0.00006498646,0.0001727868],"domain_scores_gemma":[0.9997823,0.000004718212,0.00005184669,0.00009842136,0.00001864178,0.00004408645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002386052,0.00002244703,0.9776987,0.000003436425,0.00001163511,0.000001393169,0.00005804113,0.0009647313,0.001815423,0.00007613572,0.001738536,0.01758563],"study_design_scores_gemma":[0.0004407581,0.0001129223,0.9968249,0.000001813997,0.00001431943,0.00001741378,0.00002996143,0.001138481,0.00003970717,0.0002352404,0.001035812,0.0001086389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982672,0.000426014,0.0001266075,0.0001156096,0.0001957424,0.00005548361,0.00001015603,0.000009134848,0.0007940524],"genre_scores_gemma":[0.9979367,0.00009469678,0.0006728771,0.00006114563,0.00006761756,0.000004767346,0.0000642967,0.000005695414,0.001092245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191262,"threshold_uncertainty_score":0.4345952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048677539555784,"score_gpt":0.2252510177254313,"score_spread":0.2147642423298734,"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."}}