{"id":"W2916007858","doi":"10.5267/j.msl.2019.2.007","title":"Does a workload influence the performance of bank employees?","year":2019,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workload; Business; Computer science; Operations management; Process management; Economics; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153626,0.0001413204,0.0001455551,0.0002549978,0.0008045388,0.0001818254,0.001822026,0.00002431449,0.0001660939],"category_scores_gemma":[0.00002369769,0.00007902446,0.00006294524,0.001602345,0.00157826,0.001170971,0.0004134234,0.0001225692,0.0003278513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219292,"about_ca_system_score_gemma":0.00002672732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002780666,"about_ca_topic_score_gemma":0.00007573749,"domain_scores_codex":[0.9972837,0.00005503922,0.0002713736,0.000413448,0.001304486,0.0006719551],"domain_scores_gemma":[0.999016,0.00004848637,0.0001578219,0.0006590458,0.00004355745,0.00007505839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002854876,0.00008367486,0.9364906,0.000192495,0.00004950624,0.00000533546,0.01048673,0.004120934,0.003423043,0.02366002,0.002543028,0.01891607],"study_design_scores_gemma":[0.0006529205,0.0001748122,0.7626923,0.0004025896,0.00006910364,3.609573e-7,0.01161708,0.0007428306,0.002575609,0.0003680047,0.2200438,0.0006606259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620518,0.00001329644,0.00004839066,0.009813832,0.0007024359,0.000759727,5.439427e-7,0.00006959635,0.02654035],"genre_scores_gemma":[0.9918804,0.0003110848,0.0003005014,0.004488109,0.00006282481,0.00004791883,2.985456e-7,0.000007881144,0.002900939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2175008,"threshold_uncertainty_score":0.6187943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007933166053653185,"score_gpt":0.2538701770687367,"score_spread":0.2459370110150835,"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."}}