{"id":"W1487044970","doi":"","title":"ERP Simulation Game: Establishing Engagement, Collaboration and Learning","year":2011,"lang":"en","type":"article","venue":"Victoria University Research Repository (Victoria University)","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enterprise resource planning; Competition (biology); Supply chain; Business simulation; Product (mathematics); Knowledge management; Business; Product lifecycle; Cash; Supply chain management; Resource (disambiguation); Process management; Soft skills; Marketing; New product development; Computer science; Management; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.003331417,0.0011641,0.0004942625,0.0008328533,0.001630656,0.003646242,0.001873493,0.001600644,0.00832323],"category_scores_gemma":[0.009415676,0.0004610557,0.0005366604,0.0003145414,0.002112337,0.002133449,0.007289664,0.001969737,0.001898655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172644,"about_ca_system_score_gemma":0.002096643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449947,"about_ca_topic_score_gemma":0.002632212,"domain_scores_codex":[0.9959786,0.002707378,0.0001079805,0.0003260049,0.0005210731,0.0003589159],"domain_scores_gemma":[0.9950836,0.002362148,0.0001792146,0.0003343069,0.0003728338,0.001667931],"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":[0.0025358,0.02716932,0.01761208,0.002071198,0.0001964288,0.003354154,0.1264336,0.02598272,0.0652393,0.09776282,0.0910513,0.5405913],"study_design_scores_gemma":[0.002129165,0.01172488,0.02046569,0.001247986,0.0001881028,0.002968014,0.05341508,0.1637213,0.03707831,0.08983498,0.6165676,0.0006590557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5139848,0.0003845445,0.3162649,0.005936067,0.0005737428,0.005877738,0.0005160709,0.003553247,0.1529088],"genre_scores_gemma":[0.7066339,0.0003329089,0.261732,0.0008140331,0.00005707033,0.005300787,0.0005729793,0.0002517105,0.02430463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00832323,"threshold_uncertainty_score":0.02784395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743554763444908,"score_gpt":0.2915414055097804,"score_spread":0.2171859291652896,"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."}}