{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006028053,0.0006839934,0.0005819486,0.001043923,0.000648478,0.002100997,0.0008849773,0.0009457046,0.08686715],"category_scores_gemma":[0.001143821,0.0003887182,0.000411143,0.0009945157,0.001150445,0.001500132,0.001278416,0.002095815,0.04577513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065278,"about_ca_system_score_gemma":0.0006712212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783583,"about_ca_topic_score_gemma":0.003902935,"domain_scores_codex":[0.9996972,0.000069423,0.000007532904,0.00007727079,0.0001309559,0.00001766078],"domain_scores_gemma":[0.9997533,0.0001000479,0.000007282891,0.00006253653,0.00005140583,0.00002544577],"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":[0.00001717927,0.00002252332,0.0002137645,0.0001253132,0.00001576685,0.00005566093,0.000156053,0.0007851003,0.001183107,0.2707785,0.3712283,0.3554188],"study_design_scores_gemma":[0.000003389397,0.000006970954,0.0003144882,0.00005281295,0.000003498483,0.0001367558,0.00002832311,0.0005240398,0.0003538989,0.09363016,0.9049387,0.000007035294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000807017,0.01673677,0.1118576,0.005411469,0.002510025,0.0000796086,0.001028768,0.001820724,0.859748],"genre_scores_gemma":[0.01253783,0.0086286,0.04368085,0.00266137,0.001172631,0.0001114189,0.001516301,0.0007443927,0.9289466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08686715,"threshold_uncertainty_score":0.2905996,"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."}}