{"id":"W3125594171","doi":"","title":"Working Time Regulation, Unequal Lifetimes and Fairness","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Earnings; Inequality; Economics; Working time; Argument (complex analysis); Constant (computer programming); Wage; Labour economics; Decentralization; Working hours; Demographic economics; Mathematics; Computer science; Engineering; Work (physics); Market economy","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":[],"consensus_categories":[],"category_scores_codex":[0.001621297,0.0002482209,0.0003950248,0.0003353936,0.0008832979,0.001491859,0.0006087924,0.000715648,0.003960272],"category_scores_gemma":[0.004196292,0.0001224648,0.0004443223,0.0003919394,0.002534418,0.001733036,0.001700707,0.000948324,0.0002226238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775597,"about_ca_system_score_gemma":0.0007255006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020811,"about_ca_topic_score_gemma":0.002227008,"domain_scores_codex":[0.9989894,0.0003838472,0.00003228619,0.0001726591,0.00009100897,0.0003308376],"domain_scores_gemma":[0.99806,0.0007858304,0.0005891494,0.0002884404,0.0001035473,0.0001729945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001949661,0.0000892517,0.008614911,0.000057819,0.00005110865,0.0001622779,0.0008242177,0.05400498,0.001121924,0.9110115,0.0009047648,0.02296235],"study_design_scores_gemma":[0.00005670373,0.0001462427,0.009899068,0.00007174179,0.00003390497,0.0001088178,0.0006467647,0.02769746,0.0007412172,0.9532638,0.007308564,0.000025607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7747459,0.002093301,0.1298152,0.005896783,0.0001220826,0.00004720995,0.0002297756,0.00003553654,0.08701419],"genre_scores_gemma":[0.9936898,0.0002841853,0.002553968,0.0001371754,0.00003942621,0.0000237703,0.00001565957,0.000004256638,0.003251796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003960272,"threshold_uncertainty_score":0.01324844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983539880658934,"score_gpt":0.3581151341843165,"score_spread":0.3382797353777271,"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."}}