{"id":"W3095675189","doi":"10.5267/j.msl.2020.10.001","title":"The influence of knowledge management on lecturer performance through job satisfaction","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Employee Performance and Leadership","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job satisfaction; Path analysis (statistics); Psychology; Job performance; Knowledge management; Job attitude; Job design; Applied psychology; Computer science; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002217247,0.0001868923,0.0002289367,0.0006205033,0.0004115237,0.001474967,0.0002267109,0.0002719054,0.002993],"category_scores_gemma":[0.01448884,0.00007434346,0.000250276,0.0003676698,0.000442866,0.0005411864,0.0005704848,0.0006503124,0.000397743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005268835,"about_ca_system_score_gemma":0.0009383856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781774,"about_ca_topic_score_gemma":0.001616934,"domain_scores_codex":[0.9969217,0.001276262,0.0001209968,0.0001395224,0.001107034,0.0004344423],"domain_scores_gemma":[0.976556,0.01387765,0.004008251,0.0004834099,0.002702731,0.002372019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005412636,0.001842734,0.8115761,0.0002075329,0.0002356946,0.0004575329,0.004849863,0.001460308,0.0102156,0.00151516,0.001442355,0.1656559],"study_design_scores_gemma":[0.00001456542,0.0006239353,0.9921209,0.00003579088,0.00004939207,0.0001567049,0.002144827,0.001637719,0.001970076,0.0003036399,0.0009221641,0.00002037621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908673,0.0001434042,0.0006614776,0.000321365,0.000009572992,0.0000140293,0.00003104235,0.0000158935,0.007935941],"genre_scores_gemma":[0.9991424,0.00005172568,0.0001502198,0.00003316548,0.00001455849,0.000003594794,0.00002043037,0.000002649281,0.0005812778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002993,"threshold_uncertainty_score":0.01172608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648112456570367,"score_gpt":0.2362591458901737,"score_spread":0.20977802132447,"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."}}