{"id":"W3012590737","doi":"10.1101/2020.03.22.001453","title":"Genetic analyses identify widespread sex-differential participation bias","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Janssen Biotech; Genentech; Business Finland; ZonMw; Jacobs Foundation; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Academy of Finland; GlaxoSmithKline; Medical Research Council; Celgene; Biogen; Maze Therapeutics; Sanofi; AstraZeneca; Pfizer","keywords":"Heritability; Genome-wide association study; Biology; Locus (genetics); Allele; Genetic association; Genotype; Evolutionary biology; Genetics; Demography; Single-nucleotide polymorphism; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01143601,0.0003897666,0.0007078052,0.001266552,0.000681525,0.001498315,0.0006711035,0.000897746,0.004259126],"category_scores_gemma":[0.02826792,0.0002204153,0.0008109662,0.001801056,0.001309694,0.0004819498,0.001137148,0.0008686379,0.0003848563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759474,"about_ca_system_score_gemma":0.0004102806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473349,"about_ca_topic_score_gemma":0.001595317,"domain_scores_codex":[0.9903967,0.005532207,0.0005421719,0.001970038,0.001039337,0.0005195033],"domain_scores_gemma":[0.9710253,0.01539067,0.007699543,0.003985904,0.001136039,0.000762523],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009866633,0.00006441225,0.9533852,0.000111605,0.001398577,0.0008768018,0.0006202798,0.0007452737,0.01422631,0.00348309,0.001288288,0.0228134],"study_design_scores_gemma":[0.00009712212,0.0002282371,0.9710194,0.00008418487,0.0006327386,0.001644201,0.0004683469,0.003897468,0.005692921,0.01303137,0.003165166,0.00003877509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864191,0.0007149658,0.009203955,0.0009024303,0.00005271055,0.00002260615,0.0007819583,0.00008593351,0.001816273],"genre_scores_gemma":[0.9977893,0.00007856377,0.001466338,0.000197041,0.00003320526,0.00001278859,0.0001677135,0.00002721243,0.0002279251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.988564,"threshold_uncertainty_score":0.06048006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06232652262265924,"score_gpt":0.3175821200763187,"score_spread":0.2552555974536594,"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."}}