{"id":"W4401477361","doi":"10.69565/jems.v3i3.335","title":"Identification of HRM practices to Improve work engagement of medical staff of Government hospitals","year":2024,"lang":"en","type":"article","venue":"Journal of excellence in management sciences.","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Business; Government (linguistics); Knowledge management; Process management; Public relations; Political science; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195772,0.0001749447,0.0001781858,0.0007776331,0.00110829,0.0008982526,0.0005762249,0.000421912,0.001724733],"category_scores_gemma":[0.01036416,0.0001468037,0.0001708861,0.0008577323,0.000412827,0.0005321613,0.0009593428,0.0005632835,0.0002351746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527639,"about_ca_system_score_gemma":0.004035825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004550151,"about_ca_topic_score_gemma":0.009325392,"domain_scores_codex":[0.9983247,0.0007728765,0.0001486104,0.00008993001,0.0003014216,0.0003623837],"domain_scores_gemma":[0.9921598,0.001546417,0.003892282,0.0002729198,0.0008848442,0.001243716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005069036,0.0004124708,0.9071912,0.0002836309,0.00001595787,0.000172106,0.01990811,0.00008635838,0.0009028358,0.0001386672,0.001064355,0.0697736],"study_design_scores_gemma":[0.000004971277,0.0002439528,0.963809,0.0001752549,0.000006362139,0.00012768,0.0334117,0.0001576355,0.0001808895,0.00008972683,0.001783733,0.000009103059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964811,0.0003201744,0.0002190439,0.001030391,0.00001281574,0.00005890832,0.00006833022,0.00000716865,0.001802059],"genre_scores_gemma":[0.9986273,0.0001850581,0.0007743586,0.0001046704,0.000007176654,0.00003366199,0.00003041623,0.000001266723,0.0002361572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004550151,"threshold_uncertainty_score":0.01108384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05036878662143152,"score_gpt":0.398570917939869,"score_spread":0.3482021313184375,"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."}}