{"id":"W2386807340","doi":"","title":"Countermeasures for ERP Implementation in Discrete Manufacturing","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business process reengineering; Key (lock); Focus (optics); Discrete manufacturing; Process management; Precondition; Manufacturing; Phase (matter); Business; Computer security; Production (economics); Marketing","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":[0.0001878923,0.0001343452,0.0001315365,0.0002357704,0.0001548432,0.0002755474,0.0001872763,0.0000294319,0.00006405635],"category_scores_gemma":[5.407892e-7,0.000134596,0.00006316249,0.0001706362,0.00001016013,0.0005937596,0.00002822852,0.0000509973,0.00007948168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005798365,"about_ca_system_score_gemma":0.00001205693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562274,"about_ca_topic_score_gemma":0.0001911967,"domain_scores_codex":[0.9990448,0.000005035177,0.0003463802,0.0002454053,0.000104694,0.0002537072],"domain_scores_gemma":[0.9996182,0.00001966697,0.0001493572,0.0001470254,0.00005377104,0.00001203249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005099372,0.000236662,0.01373722,0.0002528841,0.0000438046,0.000001373181,0.0004188129,0.0002372534,0.01997156,0.06438314,0.05615359,0.8445127],"study_design_scores_gemma":[0.001391318,0.0000144577,0.1425949,0.00002209986,0.00001835841,0.000002332325,0.0002855719,0.0007056608,0.002298135,0.005792461,0.8466192,0.0002554705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.170081,0.00007734134,0.8131737,0.006221917,0.00009789132,0.005618904,0.00005920259,0.0003472388,0.004322782],"genre_scores_gemma":[0.9871145,0.000001847141,0.007263063,0.004087792,0.0007159467,0.0004702159,0.0002662324,0.00001626823,0.00006414279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442572,"threshold_uncertainty_score":0.5488665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661506787175418,"score_gpt":0.3100888196487138,"score_spread":0.2934737517769596,"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."}}