{"id":"W4387066339","doi":"10.1007/978-981-99-5526-8_3","title":"Overtime Workers","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Overtime; Business; Labour economics; Economics","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":[0.0002998055,0.000519435,0.0002420456,0.0005659722,0.004193545,0.002927809,0.0007757598,0.002041275,0.1467291],"category_scores_gemma":[0.0004763528,0.0003326078,0.0002254995,0.0007254121,0.000724173,0.001766716,0.001566838,0.002612178,0.06210704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274613,"about_ca_system_score_gemma":0.002206743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065139,"about_ca_topic_score_gemma":0.1065824,"domain_scores_codex":[0.9997653,0.00002916536,0.0000066149,0.00003335929,0.0000741425,0.00009131467],"domain_scores_gemma":[0.9998659,0.00002619308,0.000007749294,0.00001574742,0.00004269651,0.00004175118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002321892,0.00008591588,0.0002556495,0.00007945889,8.612079e-7,0.00009117326,0.002174254,0.00005072823,0.0003455169,0.05656521,0.7977447,0.1425834],"study_design_scores_gemma":[0.000001623596,0.00001101775,0.0005837458,0.0000653932,5.096238e-7,0.0000316448,0.0008354909,0.00001718666,0.0000502674,0.00182222,0.9965789,0.000001913842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001290487,0.003483061,0.0002866484,0.002809481,0.001769631,0.00003073003,0.0001023693,0.00004645042,0.9901811],"genre_scores_gemma":[0.001135929,0.0004426138,0.00004378977,0.0004443071,0.00005087532,0.000006082093,0.00001740927,0.000006677954,0.9978524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1467291,"threshold_uncertainty_score":0.4908578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199889535284646,"score_gpt":0.4078519992212282,"score_spread":0.2878630456927636,"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."}}