{"id":"W2972284544","doi":"10.1016/j.cie.2019.106039","title":"Risk management and distributed simulation in Papyrus tool for decision making in industrial context","year":2019,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Université de Bordeaux","keywords":"Interoperability; Context (archaeology); Computer science; Risk analysis (engineering); Outsourcing; Systems engineering; Implementation; Engineering; Software engineering; World Wide Web","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":[0.0006786929,0.0004507696,0.0004845906,0.0006098796,0.0004564073,0.00106933,0.0008050526,0.0005827323,0.005821455],"category_scores_gemma":[0.002013938,0.0002682265,0.0005177011,0.0003294155,0.0002848336,0.0007900805,0.0008797802,0.000687215,0.0005308497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689331,"about_ca_system_score_gemma":0.0009532152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003351255,"about_ca_topic_score_gemma":0.00238421,"domain_scores_codex":[0.9996482,0.0001560001,0.0000249906,0.00005295534,0.00008432295,0.00003340198],"domain_scores_gemma":[0.999243,0.0004959095,0.00005201376,0.00007104083,0.00009672763,0.00004125636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003590301,0.0002605895,0.005557751,0.0002812246,0.0001254213,0.0004639288,0.000640142,0.8148443,0.007503333,0.04825155,0.003133231,0.1185794],"study_design_scores_gemma":[0.00003173266,0.00003959028,0.0004639466,0.00003436794,0.00003190709,0.00007256782,0.00005365394,0.9822005,0.002581686,0.01000962,0.004468613,0.00001188089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.143988,0.0002776535,0.8334763,0.0003983071,0.00008227013,0.000142738,0.0003398545,0.004761573,0.01653339],"genre_scores_gemma":[0.7443942,0.000208203,0.2484388,0.00006047404,0.0000242513,0.0002063552,0.0002882941,0.0002962855,0.006083108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005821455,"threshold_uncertainty_score":0.01947474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0791977497012345,"score_gpt":0.3418139270554434,"score_spread":0.2626161773542089,"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."}}