{"id":"W3122642007","doi":"10.2139/ssrn.2166717","title":"Flexible Work Time in Germany: Do Workers Like it and How Have Employers Exploited it Over the Cycle?","year":2012,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Overtime; Bust; Flexibility (engineering); Labour economics; Boom; Work (physics); Work hours; Economics; Work time; Business cycle; Working hours; Business; Demographic economics; Engineering; Macroeconomics","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":[0.001004683,0.0002081215,0.0002731307,0.001183364,0.0006329751,0.001634034,0.0005133435,0.0009547713,0.00320152],"category_scores_gemma":[0.003656629,0.0001943502,0.0002158162,0.001577446,0.000708099,0.000931581,0.0009306011,0.0007579749,0.0003273049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729055,"about_ca_system_score_gemma":0.001061154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04661902,"about_ca_topic_score_gemma":0.05623029,"domain_scores_codex":[0.9993538,0.0001027564,0.0000326371,0.00008919293,0.00009039383,0.0003311446],"domain_scores_gemma":[0.997165,0.0006050049,0.001106217,0.0001176118,0.0001437769,0.0008623156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009532192,0.0003041771,0.9296257,0.0001434974,0.000152824,0.0002938961,0.007343904,0.001308805,0.0004665118,0.004533101,0.004717522,0.05015684],"study_design_scores_gemma":[0.00001200852,0.00007696855,0.9918877,0.00006016704,0.00002576024,0.0000417401,0.003662827,0.0004055337,0.00008798706,0.000673213,0.003048261,0.00001769311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954075,0.001148374,0.0001216035,0.001403051,0.00002906474,0.000004127352,0.0006172105,0.000003953772,0.00126508],"genre_scores_gemma":[0.9987758,0.0002715407,0.00002650498,0.00007802157,0.00001210306,0.000003268565,0.0002414942,0.000002039918,0.0005891076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04661902,"threshold_uncertainty_score":0.09269536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726651178933054,"score_gpt":0.2375334479553862,"score_spread":0.2102669361660557,"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."}}