{"id":"W3123465385","doi":"10.5539/ass.v11n4p223","title":"Factors Affecting Knowledge Transfer in Public Organization Employees","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socialization; Public sector; Context (archaeology); Business; Knowledge transfer; Knowledge management; Private sector; Public relations; Psychology; Marketing; Social psychology; Political science; Economic growth; Economics; Geography","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":[0.002000406,0.00009661374,0.0001250568,0.0002668673,0.001244473,0.0004230566,0.0005789081,0.00007253676,0.00007328147],"category_scores_gemma":[0.001073783,0.00009496178,0.00002974238,0.004370586,0.000608256,0.001137823,0.0001020022,0.0001147151,0.00006194024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512195,"about_ca_system_score_gemma":0.0005206861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003301964,"about_ca_topic_score_gemma":0.008332548,"domain_scores_codex":[0.9983897,0.0001503105,0.0001479736,0.0002850591,0.0004981079,0.0005289075],"domain_scores_gemma":[0.9994115,0.00003807326,0.00002689111,0.00007622517,0.0002478749,0.0001993882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[9.64071e-7,0.00009713295,0.3289633,0.00000547013,0.000003159799,0.000001445312,0.3599092,1.012609e-7,0.00005085863,0.2550524,0.0003429017,0.05557309],"study_design_scores_gemma":[0.0004900182,0.00004169124,0.6376719,0.00002222202,0.00001059105,1.082058e-7,0.3420172,0.00001799949,0.0005036348,0.003065567,0.01568419,0.0004748834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4187976,0.00001155708,0.0002631683,0.0005262903,0.0003621269,0.000127475,3.750824e-7,0.00009792908,0.5798134],"genre_scores_gemma":[0.9988641,0.000001769224,0.00001592956,0.00001593963,0.0002754997,0.000002447204,0.000002294059,0.000009781356,0.0008122255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5800665,"threshold_uncertainty_score":0.9571608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09244814959904689,"score_gpt":0.3354972956969893,"score_spread":0.2430491460979424,"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."}}