{"id":"W2787602423","doi":"10.3386/w24360","title":"People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Attrition; Business; Business administration; Operations management; Labour economics; Marketing; 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":[0.006051536,0.0003131011,0.0004407793,0.001615288,0.0007890711,0.0009989723,0.0009777313,0.0006134745,0.0052474],"category_scores_gemma":[0.014438,0.0003127989,0.0007852041,0.001763706,0.0005384319,0.0006981938,0.001103573,0.001182934,0.0008745235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006595483,"about_ca_system_score_gemma":0.001233006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018099,"about_ca_topic_score_gemma":0.00953347,"domain_scores_codex":[0.9976112,0.001278663,0.0001520899,0.0001782859,0.0004210434,0.0003588012],"domain_scores_gemma":[0.9701616,0.02024381,0.005266062,0.001131723,0.00144261,0.001754141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001820871,0.0006093501,0.9927401,0.00002685452,0.0001424808,0.00007500572,0.0003665387,0.0003142435,0.00004751132,0.000172183,0.0005264516,0.004797327],"study_design_scores_gemma":[0.00004394415,0.00033076,0.9934648,0.00004036401,0.0001817038,0.00007177638,0.00176236,0.00293913,0.0001107611,0.0001784478,0.0008665764,0.00000930518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985402,0.0001247313,0.000304301,0.00008957925,0.000003511754,0.00003070109,0.0003462966,0.000003943905,0.0005567428],"genre_scores_gemma":[0.9975845,0.0001383736,0.0003029158,0.00004912855,0.00001502391,0.00007567163,0.0008078734,0.000003684726,0.00102282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018099,"threshold_uncertainty_score":0.032004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2885197769410488,"score_gpt":0.4985920112398616,"score_spread":0.2100722342988128,"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."}}