{"id":"W1975139165","doi":"10.4028/www.scientific.net/amr.813.81","title":"Interoperability Challenges of ERP Implementation in a Collaborative Manufacturing Environment","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Interoperability; Supply chain; Scheme (mathematics); Process management; Manufacturing engineering; Business; Focus (optics); Computer science; Engineering; World Wide Web; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001193327,0.0001204126,0.0002317265,0.0003344116,0.00007226029,0.0001421864,0.0001732697,0.00003361181,0.004674835],"category_scores_gemma":[0.00006956394,0.0001049024,0.00001912973,0.0001699178,0.00006728809,0.001419773,0.0001922729,0.00007903814,0.0003855934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210159,"about_ca_system_score_gemma":0.00001858765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187908,"about_ca_topic_score_gemma":0.0003592707,"domain_scores_codex":[0.9983621,0.0001283832,0.0005035294,0.0002626166,0.0003821529,0.0003611814],"domain_scores_gemma":[0.9993833,0.00005725293,0.0001622643,0.0002267229,0.000155098,0.00001530352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001282249,0.0001510563,0.002487847,0.0006598955,0.00002414747,0.000002088566,0.001051768,0.00004493875,0.9373696,0.007718957,0.0003906929,0.04997077],"study_design_scores_gemma":[0.00235916,0.0001266344,0.2448822,0.0001520596,0.000005429445,6.905778e-7,0.0451136,0.00002009472,0.6894512,0.006707949,0.01088619,0.0002947879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950621,0.00009094374,0.00001738586,0.0009954434,0.00009992722,0.001303809,0.00001299949,0.00001935837,0.002398102],"genre_scores_gemma":[0.9990022,0.0001554752,0.0002359407,0.00005854061,0.0001023518,0.0003658324,0.00002768835,0.00001811407,0.00003384779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2479184,"threshold_uncertainty_score":0.996235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06310754381147059,"score_gpt":0.3800759220459431,"score_spread":0.3169683782344725,"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."}}