{"id":"W4247712576","doi":"10.3917/sim.162.0089","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Exposition (narrative); Physics; 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":[0.01441917,0.0008995373,0.0006153801,0.003262133,0.001092166,0.006914497,0.001257382,0.002946046,0.007985528],"category_scores_gemma":[0.0591169,0.0007675787,0.0009044648,0.002483421,0.004276348,0.00608049,0.003526257,0.003599453,0.001125793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471433,"about_ca_system_score_gemma":0.001715538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679627,"about_ca_topic_score_gemma":0.001959948,"domain_scores_codex":[0.9834247,0.007228692,0.00125423,0.001228045,0.006250809,0.0006134715],"domain_scores_gemma":[0.9004055,0.07263969,0.01132106,0.005845303,0.009111898,0.0006765769],"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":[0.0008526631,0.0003188835,0.07827429,0.00166746,0.0005363538,0.001535616,0.03159619,0.007912415,0.0169534,0.24768,0.005099767,0.607573],"study_design_scores_gemma":[0.0001667007,0.003148751,0.3680308,0.004103609,0.001058828,0.009303175,0.02748531,0.02169764,0.05196063,0.3000329,0.2123595,0.0006520566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4902449,0.01515018,0.2388929,0.03810561,0.0004638368,0.0002673665,0.0006225839,0.001011327,0.2152412],"genre_scores_gemma":[0.9701559,0.003432735,0.01761438,0.001043228,0.0002094208,0.00009439415,0.00009508379,0.0001240293,0.007230776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01441917,"threshold_uncertainty_score":0.07625675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465188052678021,"score_gpt":0.2687467931124224,"score_spread":0.2540949125856423,"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."}}