{"id":"W3113837157","doi":"","title":"Increasing inequality in working time","year":2020,"lang":"pt","type":"article","venue":"Revista da Sociedade Brasileira de Economia Política","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Working time; Inequality; Working hours; Distribution (mathematics); Labour economics; Economics; Phenomenon; Working poor; Economic growth; Development economics; Demographic economics; Political science; Work (physics); Poverty","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":[0.0005352122,0.0001052525,0.0001739799,0.001428507,0.0007330533,0.001274305,0.0002831195,0.000461903,0.007902139],"category_scores_gemma":[0.002496953,0.00006450701,0.0001575765,0.002185512,0.000873007,0.001193527,0.001478279,0.0006705573,0.0004297751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120162,"about_ca_system_score_gemma":0.0005952956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111419,"about_ca_topic_score_gemma":0.01567853,"domain_scores_codex":[0.9992738,0.0001113822,0.00003824907,0.0001455189,0.0001715372,0.000259525],"domain_scores_gemma":[0.99841,0.0003825915,0.000560144,0.0001119613,0.0002170644,0.0003182358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002172461,0.0001161784,0.6273988,0.0002498059,0.00008830585,0.0007068599,0.01983421,0.001054341,0.004482768,0.1092592,0.007484289,0.2291081],"study_design_scores_gemma":[0.000006925058,0.00007890264,0.943333,0.0002251073,0.00001437878,0.0004067768,0.006410529,0.0005782388,0.0004081111,0.01344234,0.03508139,0.00001419755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159969,0.003757233,0.001744718,0.005711249,0.00007605534,0.00001201676,0.0007306819,0.00002409523,0.07194707],"genre_scores_gemma":[0.9966137,0.0008250732,0.0002319526,0.000173451,0.0000558735,0.000006532707,0.0001334523,0.000003637192,0.001956424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111419,"threshold_uncertainty_score":0.02643532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06224789547363417,"score_gpt":0.3113229893024844,"score_spread":0.2490750938288502,"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."}}