{"id":"W2222013878","doi":"","title":"Time, Money and Inequality in International Perspective","year":2002,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economics; Inequality; Distribution (mathematics); Demographic economics; Economic inequality; Income distribution; German; Perspective (graphical); Work (physics); Labour economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011722,0.0003885039,0.0006009684,0.0004105812,0.0002807577,0.0001986369,0.0006575802,0.0006702737,0.001842592],"category_scores_gemma":[0.0005668598,0.000463598,0.0001790427,0.0001936204,0.001133275,0.0002596907,0.000481388,0.0009632647,0.000225964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565624,"about_ca_system_score_gemma":0.0007634313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007078615,"about_ca_topic_score_gemma":0.007380106,"domain_scores_codex":[0.9970745,0.0004155746,0.0006052971,0.0009295325,0.0004509534,0.000524094],"domain_scores_gemma":[0.9983575,0.0002820693,0.0003597734,0.0004339869,0.0003005165,0.0002662004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001174596,0.0001588837,0.9417827,0.00002520347,0.000110203,0.00002428598,0.03813152,0.00009007719,0.000007467169,0.01739529,0.002049924,0.0002127662],"study_design_scores_gemma":[0.001397346,0.00004946799,0.8935838,0.0002090509,0.00007312586,0.000015432,0.05957967,0.005054488,0.000003559463,0.0235122,0.01495682,0.001565036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798578,0.001116731,0.00005842612,0.001010765,0.002983439,0.0004353893,0.0003202612,0.0001133917,0.1953837],"genre_scores_gemma":[0.9892631,0.001622314,0.0007841025,0.0003181087,0.0007785549,0.00005795278,0.00004380771,0.00003497985,0.00709714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1906851,"threshold_uncertainty_score":0.9997815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510745538786836,"score_gpt":0.2887853443340255,"score_spread":0.2636778889461571,"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."}}