{"id":"W4233657210","doi":"10.1007/978-3-030-04589-0","title":"Population Genomics","year":2019,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Identification (biology); Biology; Population; Evolutionary biology; Genetics; Genome; Gene; Ecology; Sociology; Demography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004081893,0.0004423061,0.0004628012,0.0002144434,0.0001333426,0.0001035198,0.0004952132,0.00111132,0.00007973451],"category_scores_gemma":[0.0001313051,0.0004645018,0.0002770405,0.00006111484,0.00008263312,0.000007698585,0.0003552901,0.0003641136,0.0005186322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539944,"about_ca_system_score_gemma":0.0004793319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007186921,"about_ca_topic_score_gemma":0.0001166879,"domain_scores_codex":[0.9975041,0.00005154587,0.0008315032,0.0005959392,0.0005061837,0.0005107959],"domain_scores_gemma":[0.998222,0.00002377058,0.0004604313,0.0008709008,0.0001874282,0.0002354555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001363558,0.0005592388,0.0507747,0.004045572,0.00205496,0.00002252029,0.001014328,0.009212272,0.05529056,0.007224383,0.545247,0.323191],"study_design_scores_gemma":[0.0006900154,0.000291986,0.01298053,0.00005260762,0.00008369557,0.00001398497,0.00002392226,0.00198026,0.0007129716,0.002693531,0.9795914,0.0008851445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5250413,0.005948209,0.008048948,0.0008357572,0.009451883,0.006938227,0.00247662,0.0002625596,0.4409965],"genre_scores_gemma":[0.08911172,0.003167743,0.004574213,0.0007863927,0.003675825,0.00002817951,0.04989308,0.0002569241,0.8485059],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4359296,"threshold_uncertainty_score":0.9997807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185897440256812,"score_gpt":0.2709261806952645,"score_spread":0.2523364366695833,"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."}}