{"id":"W6981939684","doi":"","title":"Gendered division of housework tasks: Decomposing the gender gap in Canada, 1986–2010","year":2018,"lang":"en","type":"other","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Ancient Near East History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender gap; Division of labour; Gender pay gap; Division (mathematics); Doing gender","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001923033,0.0005179753,0.0005723897,0.005159927,0.005026207,0.002330551,0.002060427,0.0005243834,0.003368218],"category_scores_gemma":[0.006215054,0.0003514857,0.000752826,0.01164704,0.001803067,0.0009769389,0.002656063,0.001150045,0.0003792931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05205928,"about_ca_system_score_gemma":0.05755557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974664,"about_ca_topic_score_gemma":0.9986713,"domain_scores_codex":[0.9974801,0.0001181391,0.00008730528,0.000284177,0.0007663199,0.001263943],"domain_scores_gemma":[0.9948497,0.0003735457,0.0008532628,0.0002038618,0.002584366,0.001135207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002226156,0.00004936704,0.9296379,0.0001223162,0.0001067772,0.0001644316,0.02115758,0.0006480421,0.0002445737,0.004160742,0.008237775,0.03524787],"study_design_scores_gemma":[0.000002778449,0.000008572119,0.9807364,0.00006915546,0.00001348266,0.00002042559,0.01200034,0.0003552928,0.00008073657,0.0001348384,0.006562082,0.00001589776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686223,0.002593694,0.0003973123,0.001369974,0.00006171115,0.00005672187,0.01338209,0.00002276651,0.01349357],"genre_scores_gemma":[0.9892379,0.0008302332,0.0003187043,0.00008857378,0.00001132966,0.00002792429,0.005573452,0.00001628418,0.003895591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05205928,"threshold_uncertainty_score":0.3777183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05500424675908921,"score_gpt":0.2372903518459479,"score_spread":0.1822861050868586,"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."}}