{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006957474,0.000922657,0.0002720291,0.002555525,0.001546131,0.003105437,0.001896651,0.001879887,0.003854327],"category_scores_gemma":[0.02804377,0.0002792096,0.0005369454,0.001273122,0.001499719,0.002185391,0.002322254,0.003038436,0.000475867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702185,"about_ca_system_score_gemma":0.003527908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023252,"about_ca_topic_score_gemma":0.0008357108,"domain_scores_codex":[0.9823252,0.006147394,0.001363126,0.001052314,0.007873288,0.00123881],"domain_scores_gemma":[0.9626886,0.01727049,0.010032,0.003486888,0.005456532,0.001065534],"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":[0.0005402644,0.002610487,0.04763153,0.002414532,0.0004330466,0.002210387,0.004338043,0.0154284,0.02809107,0.1286174,0.009932062,0.7577528],"study_design_scores_gemma":[0.001170771,0.01520636,0.2386252,0.006671079,0.001244429,0.006797679,0.02398873,0.08197141,0.2134186,0.07921387,0.3310069,0.0006849993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6657782,0.00649635,0.2135093,0.02085065,0.001958624,0.002620568,0.0001224364,0.002595995,0.08606787],"genre_scores_gemma":[0.964258,0.00088613,0.02776509,0.001510852,0.0001659077,0.0004772378,0.00006087626,0.00005140884,0.004824525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006957474,"threshold_uncertainty_score":0.03679508,"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."}}