{"id":"W1963896405","doi":"10.5539/ibr.v7n10p170","title":"Evaluation of Performance Appraisal Methods through Appraisal Errors by Using Fuzzy VIKOR Method","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance appraisal; VIKOR method; Rank (graph theory); CLARITY; Fuzzy logic; Computer science; Project appraisal; Evaluation methods; Management science; Operations research; Reliability engineering; Mathematics; Management; Artificial intelligence; Engineering; Business; Finance; Economics","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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09595753,0.0002649681,0.0005406808,0.001308378,0.000316577,0.0005422597,0.002754171,0.0002018044,0.00188031],"category_scores_gemma":[0.1246859,0.0002141178,0.0001501251,0.003120916,0.0004120052,0.001552491,0.0009850913,0.0004991447,0.0002055199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762808,"about_ca_system_score_gemma":0.0005146155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003214472,"about_ca_topic_score_gemma":0.00001432677,"domain_scores_codex":[0.9721985,0.007660608,0.001612069,0.001138444,0.01677549,0.0006149022],"domain_scores_gemma":[0.9550026,0.02131006,0.0006501589,0.001186108,0.02170802,0.0001430343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00027111,0.0002684887,0.004660235,0.00002476633,0.00009722385,0.000001811375,0.0007849487,0.02533445,0.1206188,0.002358788,0.004480405,0.841099],"study_design_scores_gemma":[0.001230703,0.00004914625,0.0212546,0.00009917928,0.00002931763,0.00002995602,0.0003919356,0.8671666,0.01384295,0.01541053,0.08022539,0.0002696409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2551796,0.0001159959,0.7243471,0.0008875963,0.002937916,0.0003354547,0.00003419141,0.00002928172,0.01613289],"genre_scores_gemma":[0.710439,0.00001080589,0.2887836,0.00003560966,0.0003694096,0.00004391668,0.00001968872,0.00003337608,0.0002645543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8418322,"threshold_uncertainty_score":0.9990321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.564277268446421,"score_gpt":0.6644549475298825,"score_spread":0.1001776790834615,"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."}}