{"id":"W3170254796","doi":"10.51380/gujr-37-02-01","title":"TALENT MANAGEMENT AND ORGANIZATIONAL EFFICIENCY: EXPLORING THE MODERATING ROLE OF EMPLOYEE TURNOVER INTENTION IN THE PAKISTAN TELECOMMUNICATION SECTOR","year":2021,"lang":"en","type":"article","venue":"Gomal University Journal of Research","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Moderation; Turnover intention; Business; Business administration; Tertiary sector of the economy; Turnover; Marketing; Service (business); Management; Job satisfaction; Economics; Psychology","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":[0.001489976,0.0002984987,0.0002626863,0.0007155502,0.001096028,0.001196279,0.0003961766,0.0005374974,0.004070609],"category_scores_gemma":[0.004463993,0.0001692863,0.0004532909,0.0005358835,0.0005057891,0.0004938761,0.0009302704,0.0009168364,0.0002318716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006925879,"about_ca_system_score_gemma":0.002393869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403779,"about_ca_topic_score_gemma":0.01713869,"domain_scores_codex":[0.9988983,0.0004703412,0.00005802068,0.00009046213,0.0001677013,0.0003152435],"domain_scores_gemma":[0.9925365,0.003738306,0.001738667,0.000164419,0.0004753511,0.001346653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001107502,0.0006559981,0.9895011,0.00003716192,0.00007776591,0.0001440585,0.002226552,0.0001249866,0.0002389278,0.0003115636,0.0001484856,0.006422615],"study_design_scores_gemma":[0.000008545439,0.0002761949,0.9936609,0.00005349566,0.00006526375,0.00004969932,0.004545505,0.000678781,0.0001704064,0.0001437493,0.0003392402,0.000008117291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988962,0.00006080804,0.00005540195,0.0001483187,0.000004567641,0.000009171487,0.00002790992,0.000001070902,0.0007965299],"genre_scores_gemma":[0.9995503,0.00004662911,0.00005076616,0.00002766116,0.000004590092,0.000009106072,0.00002549651,5.098502e-7,0.0002849398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403779,"threshold_uncertainty_score":0.02791214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887588294256007,"score_gpt":0.2662124739184378,"score_spread":0.2173365909758777,"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."}}