{"id":"W3094514527","doi":"10.14738/assrj.79.8984","title":"SYSTEMATIC MAPPING OF PERFORMANCE ASSESSMENT RESEARCH: BIBLIOMETRIC STUDY WITH VOSVIEWER","year":2020,"lang":"en","type":"article","venue":"Advances in Social Sciences Research Journal","topic":"Local Governance and Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Scopus; Balanced scorecard; Data envelopment analysis; Computer science; Bibliometrics; Performance management; Performance measurement; Accountability; Public sector; Database; Process management; Knowledge management; Data mining; Business; Political science; Marketing","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04066852,0.001076933,0.003066883,0.2390684,0.002026563,0.01138849,0.00162028,0.0009123207,0.005912972],"category_scores_gemma":[0.1778277,0.0006505697,0.002741695,0.3041617,0.001714472,0.008463487,0.006868746,0.0007867601,0.001094545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004203188,"about_ca_system_score_gemma":0.01307494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005385612,"about_ca_topic_score_gemma":0.004986929,"domain_scores_codex":[0.9399669,0.01742973,0.01520409,0.00364148,0.02238053,0.001377166],"domain_scores_gemma":[0.8101195,0.1277524,0.02129296,0.01101604,0.02891091,0.000908219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002885464,0.000226124,0.1288284,0.04518826,0.002392789,0.0009408265,0.03873461,0.004284624,0.003061922,0.04581288,0.02893275,0.7013084],"study_design_scores_gemma":[0.0003415202,0.0009750955,0.4286339,0.0287649,0.005229556,0.00285848,0.1117219,0.02711163,0.01024494,0.06458866,0.3187952,0.0007342374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5599281,0.05002551,0.1139275,0.006114127,0.001121826,0.009793702,0.07760496,0.005560985,0.1759234],"genre_scores_gemma":[0.7677882,0.02338891,0.1629983,0.0002843018,0.0004408306,0.0118962,0.02770808,0.0006618504,0.004833304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7609316,"threshold_uncertainty_score":0.2150782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3246470968729246,"score_gpt":0.5464439919683416,"score_spread":0.221796895095417,"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."}}