{"id":"W1519869673","doi":"10.9876/sim.v9i2.155","title":"L'exposition au risque d'implantation d'ERP : éléments de mesure et d'atténuation","year":2016,"lang":"fr","type":"article","venue":"Systèmes d information & management","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Exposition (narrative); Political science; Philosophy; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008459027,0.001141767,0.0006940915,0.006617794,0.001264277,0.007527252,0.001462888,0.002680696,0.00438433],"category_scores_gemma":[0.03868062,0.0007045654,0.0012201,0.004278574,0.004709825,0.005392615,0.003099008,0.005089136,0.001001197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003443105,"about_ca_system_score_gemma":0.001524246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756677,"about_ca_topic_score_gemma":0.002077346,"domain_scores_codex":[0.9866932,0.005063294,0.00074902,0.0008384971,0.006289262,0.0003667368],"domain_scores_gemma":[0.9529108,0.03353038,0.005306552,0.001728091,0.006161299,0.0003628539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003144065,0.0001943527,0.03612,0.001422754,0.0002582065,0.0006878825,0.01232672,0.01536289,0.005710088,0.533678,0.01181376,0.382111],"study_design_scores_gemma":[0.00005461757,0.0008478456,0.1227233,0.003480748,0.0003966694,0.00650293,0.01039599,0.0323659,0.01537361,0.3103454,0.496937,0.0005759908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1862214,0.1263907,0.3250259,0.07944683,0.004296458,0.0002302629,0.0009807701,0.001022848,0.2763849],"genre_scores_gemma":[0.8951381,0.04443676,0.03691418,0.003159727,0.003858726,0.0002464922,0.0002721639,0.000335499,0.01563837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008459027,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158894794631182,"score_gpt":0.2684599661005738,"score_spread":0.2525704866374556,"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."}}