{"id":"W3161647270","doi":"10.5267/j.dsl.2021.3.002","title":"Towards a comprehensive methodology for applying enterprise gamification","year":2021,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Educational Games and Gamification","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge management; Productivity; Quality (philosophy); Computer science; Enterprise information system; Enterprise architecture; Process management; Engineering","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":[0.001105415,0.0001093462,0.0001661772,0.0002360611,0.0002253006,0.0001002396,0.0004213094,0.00005745402,0.0002741721],"category_scores_gemma":[0.000763523,0.0001041576,0.00009301336,0.0008219394,0.0002918957,0.0001702758,0.00006384245,0.00009718417,0.0001794711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008929319,"about_ca_system_score_gemma":0.0001257839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428705,"about_ca_topic_score_gemma":0.00000185668,"domain_scores_codex":[0.9981449,0.0001348594,0.0003249508,0.0006797646,0.0003943838,0.0003211624],"domain_scores_gemma":[0.9975583,0.001158204,0.0001432199,0.000586396,0.000452083,0.0001018104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007928133,0.0001144153,0.0009421306,0.000006856342,0.0000145375,0.000005910491,0.004499309,0.00006723816,0.5132656,0.03532546,0.012983,0.4326963],"study_design_scores_gemma":[0.001507855,0.00009668556,0.3913953,0.00005570967,0.00004923547,0.0001769039,0.0122742,0.0008733214,0.02964088,0.01658526,0.5467834,0.000561151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4310805,0.0001656084,0.5562644,0.00963092,0.001882896,0.0003086522,0.000008779151,0.00002812266,0.0006301027],"genre_scores_gemma":[0.7070235,0.00001745749,0.2754636,0.01621,0.0002528209,0.0005414517,0.00004441403,0.00001783527,0.0004289575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5338005,"threshold_uncertainty_score":0.4247424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609613685648261,"score_gpt":0.4465024394750417,"score_spread":0.2855410709102156,"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."}}