{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005596862,0.0002309607,0.0001566856,0.0002271541,0.0009153553,0.0003233319,0.0009859942,0.00002597458,0.00002252533],"category_scores_gemma":[0.00002289564,0.0001680327,0.00006842324,0.001901804,0.0005674698,0.002115631,0.0003540582,0.0001929385,0.0005537852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006274234,"about_ca_system_score_gemma":0.000004962297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002727398,"about_ca_topic_score_gemma":0.000008874652,"domain_scores_codex":[0.9978537,0.00001040415,0.0003236677,0.0005011881,0.0007521037,0.0005589486],"domain_scores_gemma":[0.9992685,0.00002900782,0.0001990673,0.0004351037,0.00004620655,0.00002205879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000414713,0.0001169542,0.5497419,0.003351493,0.0002268052,0.00003702505,0.002541049,0.05905637,0.005973804,0.2264054,0.0491599,0.1029745],"study_design_scores_gemma":[0.0005472606,0.00004572762,0.8993124,0.0001571197,0.00006675224,4.73387e-7,0.0008622571,0.002810036,0.0004842028,0.0002397506,0.09510433,0.0003696578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360788,0.00002570551,0.0002147579,0.01542574,0.0003177375,0.0004715092,2.625389e-7,0.0001120013,0.04735343],"genre_scores_gemma":[0.9688179,0.0001009523,0.0001791939,0.03041507,0.0003100854,0.00004378782,0.000001237441,0.00001756861,0.0001141275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3495705,"threshold_uncertainty_score":0.7117973,"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."}}