{"id":"W4317209431","doi":"10.18280/jesa.550611","title":"Novel Integrated Framework for ERP Selection and Implementation","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Process management; Cognitive science; Management science; Psychology; Artificial intelligence; Business; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009557946,0.0001859707,0.0002232747,0.0004157478,0.001391855,0.0008391522,0.0001642255,0.0000319801,0.001362697],"category_scores_gemma":[0.0001944875,0.0001722955,0.00009303055,0.0005927591,0.00002318606,0.001143314,0.0001074335,0.0002628156,0.00001922885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467115,"about_ca_system_score_gemma":0.00006555754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003297863,"about_ca_topic_score_gemma":0.0001045927,"domain_scores_codex":[0.9984567,0.00005707361,0.0005848191,0.0002020599,0.0003688162,0.0003305615],"domain_scores_gemma":[0.9988719,0.00009560013,0.0006837595,0.00008822952,0.0002274167,0.00003308334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002331502,0.0002794089,0.05555956,0.0008409618,0.0004312512,0.00001646877,0.001958366,0.0008467059,0.01477664,0.1677312,0.06299467,0.6943316],"study_design_scores_gemma":[0.004196231,0.0004127493,0.7120326,0.0002048487,0.0002582296,0.001348684,0.01513339,0.05692792,0.000154071,0.03395442,0.1746025,0.0007744171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826537,0.0002332551,0.3114619,0.001306319,0.001728313,0.001259827,0.0000820371,0.0003796035,0.0008950602],"genre_scores_gemma":[0.9842445,0.000009603778,0.01323442,0.001217626,0.0008572226,0.0001001249,0.0000606302,0.00005696417,0.0002188649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6935572,"threshold_uncertainty_score":0.9999082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341509944934646,"score_gpt":0.3108762701591805,"score_spread":0.2767252756657159,"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."}}