{"id":"W4210844108","doi":"10.1093/esr/jcac014","title":"Genetic Influences on Educational Achievement in Cross-National Perspective","year":2022,"lang":"en","type":"article","venue":"European Sociological Review","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Max-Planck-Institut für demografische Forschung; Université de Lausanne; Vetenskapsrådet; H2020 European Research Council; Stockholms Universitet; European University Institute; Deutsche Forschungsgemeinschaft; American Association for the Advancement of Science; European Commission; Leibniz-Gemeinschaft; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Princeton University; Swedish Collegium for Advanced Study; American Academy of Arts and Sciences; York University; Universitetet i Oslo; New York Genome Center; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Disadvantaged; Welfare state; Affect (linguistics); Welfare; Social stratification; Perspective (graphical); Population; Demographic economics; Variance (accounting); Sociology; Political science; Demography; Economic growth; Economics; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009740786,0.0001662885,0.0003956938,0.001327249,0.0002466085,0.0008020882,0.0002257491,0.0003256683,0.001940355],"category_scores_gemma":[0.002564827,0.00008896564,0.0003340158,0.001724334,0.0005523417,0.0003723288,0.000787224,0.000322,0.00009869211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371596,"about_ca_system_score_gemma":0.0003788202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007000616,"about_ca_topic_score_gemma":0.006854614,"domain_scores_codex":[0.9992925,0.0003510167,0.00003522405,0.0001501972,0.00009576103,0.00007525349],"domain_scores_gemma":[0.9982267,0.001080797,0.0003529584,0.0001010078,0.0001419827,0.00009661552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001776612,0.0001715809,0.8470906,0.0006931216,0.002345026,0.0008625272,0.002154238,0.001673121,0.001257439,0.01713956,0.000828515,0.1256065],"study_design_scores_gemma":[0.000002804226,0.00004616182,0.9922511,0.0002448207,0.0002853082,0.0001807493,0.0007166644,0.000248696,0.0001474982,0.002665617,0.003202758,0.000007817298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400863,0.04620112,0.001135611,0.000938102,0.00008314844,0.000008567409,0.0004368524,0.000009431918,0.01110088],"genre_scores_gemma":[0.9902295,0.00903059,0.0002299032,0.00006477135,0.00002865382,0.000005352619,0.0001334083,0.000001820465,0.0002758968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007000616,"threshold_uncertainty_score":0.01391977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1655020902682162,"score_gpt":0.4685385479540369,"score_spread":0.3030364576858207,"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."}}