{"id":"W2759428769","doi":"10.1007/s11199-017-0832-1","title":"Time, Money, or Gender? Predictors of the Division of Household Labour Across Life Stages","year":2017,"lang":"en","type":"article","venue":"Sex Roles","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"Life course approach; Psychology; Perspective (graphical); Young adult; Division of labour; Marital status; Adult development; Demography; Developmental psychology; Sociology; Population; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007297425,0.0001116197,0.0002393004,0.00001960103,0.0007030126,0.0000659732,0.001073839,0.0001321236,0.00006333016],"category_scores_gemma":[0.0006428297,0.00007164311,0.00008358169,0.00008183763,0.0009124781,0.0001966927,0.0003311459,0.0001165051,0.000006808103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002453495,"about_ca_system_score_gemma":0.0001564858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005886945,"about_ca_topic_score_gemma":0.001656371,"domain_scores_codex":[0.9985725,0.000146574,0.0002173716,0.0001947162,0.0005667885,0.0003020229],"domain_scores_gemma":[0.9986657,0.0001389336,0.0003733075,0.0006603424,0.00007613966,0.00008560828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002605238,0.00008460586,0.9600921,0.00005317123,0.00005178198,0.000001017758,0.03427239,0.00009190786,0.001325408,0.0002994564,0.002434404,0.001267763],"study_design_scores_gemma":[0.0002440261,0.00003174691,0.9786881,0.00008172403,0.00001040911,8.350479e-8,0.01524792,0.000005483427,0.001915271,0.0003210538,0.003356718,0.00009745882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938701,0.0006294354,0.000003040404,0.0004257849,0.0002890212,0.0001756568,0.000157546,0.0000570878,0.004392268],"genre_scores_gemma":[0.9940799,0.0007358074,0.00002903332,0.00003166115,0.0002141271,0.000004847731,8.044757e-7,0.00001631376,0.004887437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01902446,"threshold_uncertainty_score":0.5407075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472691892798238,"score_gpt":0.3179981428692859,"score_spread":0.2732712239413035,"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."}}