{"id":"W3212161190","doi":"10.1101/2021.11.06.467573","title":"Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP)","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Leibniz-Gemeinschaft; National Institutes of Health; University of Texas at Austin; Max-Planck-Gesellschaft; Jacobs Foundation; Deutsche Forschungsgemeinschaft; Universität Basel; Vrije Universiteit Amsterdam; Canadian Institute for Advanced Research","keywords":"German; Sample (material); Offspring; Sibling; Twin study; Life course approach; Cohort; Demography; Geography; Biology; Psychology; Genetics; Sociology; Heritability; Developmental psychology; Medicine","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":[0.001279831,0.0003261919,0.0003853328,0.001475197,0.0003315314,0.0005082946,0.0004654045,0.0004262381,0.003923875],"category_scores_gemma":[0.003839026,0.0002378701,0.0003966291,0.00241989,0.0001651834,0.0002152911,0.0007934035,0.0003737596,0.001169938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877273,"about_ca_system_score_gemma":0.0004027311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427703,"about_ca_topic_score_gemma":0.01133871,"domain_scores_codex":[0.9992741,0.0002008126,0.00007004695,0.0002147736,0.0001477373,0.00009262207],"domain_scores_gemma":[0.9984517,0.0002616807,0.0002703752,0.0006663339,0.0002258923,0.0001239525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008343169,0.0001096271,0.9176801,0.0001506157,0.0007244684,0.0004759993,0.0004309939,0.001292983,0.002972664,0.002170863,0.05363066,0.01952675],"study_design_scores_gemma":[0.00006897894,0.00004456228,0.9873084,0.00002015295,0.0001167064,0.0002123227,0.00009112058,0.0005194923,0.0004674345,0.0003410646,0.01079436,0.00001531515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729598,0.0002753536,0.00344578,0.000254937,0.00003029611,0.0002065561,0.2633528,0.0001030953,0.002733202],"genre_scores_gemma":[0.6440517,0.0003136793,0.00395241,0.0002100832,0.00004500022,0.0007467406,0.3471681,0.0000742023,0.003438127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427703,"threshold_uncertainty_score":0.0283879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286010638600523,"score_gpt":0.2715559451695826,"score_spread":0.2386958387835774,"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."}}