{"id":"W3084084021","doi":"10.11647/obp.0251","title":"Human Evolutionary Demography","year":2024,"lang":"en","type":"book","venue":"Open Book Publishers","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Environment Research Council; Danmarks Frie Forskningsfond; Wellcome Trust","keywords":"Demography; Geography; Evolutionary biology; Biology; Sociology","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002565027,0.0006547201,0.0007581079,0.001122044,0.00169972,0.008087149,0.004473965,0.0008300468,0.00677769],"category_scores_gemma":[0.0000670667,0.0007150933,0.0007866452,0.0009327967,0.001490167,0.005031958,0.001411706,0.001205751,0.001350335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041296,"about_ca_system_score_gemma":0.00206202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005358752,"about_ca_topic_score_gemma":0.005601504,"domain_scores_codex":[0.9944322,0.0003745611,0.0007758107,0.00143461,0.001904653,0.001078181],"domain_scores_gemma":[0.9975035,0.00007786623,0.0004195669,0.001202349,0.0003521359,0.0004446296],"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":[0.000004618789,0.00004845978,0.0004676268,0.00008415826,0.0003776937,0.00006418006,0.0006665461,0.000001645246,1.694688e-7,0.2607785,0.7361765,0.001329907],"study_design_scores_gemma":[0.0002208741,0.00004039651,0.001106885,0.0002616523,0.0002437821,9.974538e-7,0.0006977718,0.000001393557,1.022305e-7,0.09184439,0.9048027,0.0007790207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001896763,0.0067361,0.000004987478,0.00308392,0.003570255,0.002719148,0.000117428,0.0005102756,0.9832389],"genre_scores_gemma":[0.0004408701,0.0004398183,0.0002591229,0.002255859,0.00150474,0.0003461695,0.0004329982,0.000171658,0.9941488],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1689342,"threshold_uncertainty_score":0.9995999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280047538922832,"score_gpt":0.3264122312677413,"score_spread":0.2984074773754581,"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."}}