{"id":"W4234425162","doi":"10.1007/978-3-030-63489-6","title":"Population Genomics: Wildlife","year":2020,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wildlife; Genomics; Geography; Population genomics; Population; Biology; Ecology; Genome; Genetics; Environmental health; Medicine","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":[0.000109007,0.0004617886,0.0004230309,0.00007826558,0.0001419844,0.00005438083,0.0003679707,0.0007353097,0.00006430056],"category_scores_gemma":[0.00004822015,0.0005460921,0.0002332502,0.0000452913,0.00004769502,0.00000458976,0.0001907866,0.0002834025,0.0001595828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210571,"about_ca_system_score_gemma":0.0002688281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004742551,"about_ca_topic_score_gemma":0.00004984782,"domain_scores_codex":[0.9980261,0.00005704042,0.0006208257,0.0007689892,0.0002178645,0.0003092168],"domain_scores_gemma":[0.9986837,0.00001308005,0.0004313918,0.0006042189,0.00007258068,0.0001950508],"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":[0.00133473,0.0003491606,0.04363138,0.00113187,0.00205766,0.00001068765,0.00148583,0.0918481,0.01507115,0.1298149,0.6319433,0.08132122],"study_design_scores_gemma":[0.0005643074,0.0002767577,0.07839476,0.00003202543,0.0001739237,0.00001485218,0.00001457527,0.0001758401,0.0001572754,0.0271148,0.8920975,0.0009834395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.498603,0.01079238,0.04740115,0.002021345,0.009560073,0.006544659,0.002747409,0.000576174,0.4217538],"genre_scores_gemma":[0.3084153,0.0007280153,0.08605451,0.00543487,0.01484912,0.00009139832,0.06427866,0.0007591862,0.519389],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2601542,"threshold_uncertainty_score":0.9996991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388077789500135,"score_gpt":0.2290483008018714,"score_spread":0.21516752290687,"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."}}