{"id":"W4395453156","doi":"10.18280/isi.290208","title":"Identifying and Addressing Trust Concerns in Cyber-Physical Systems for the Oil and Gas Industry","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Petroleum industry; Business; Fossil fuel; Industry 4.0; Computer security; Internet privacy; Environmental science; Computer science; Engineering; Waste management; Environmental 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002004231,0.0001236923,0.0002507324,0.0003223474,0.0003721451,0.002532339,0.0001991793,0.0001358932,0.00000850164],"category_scores_gemma":[0.0008753402,0.00007802045,0.00006890281,0.0007071928,0.0002070475,0.002849729,0.00008513955,0.0002464869,0.00001926672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008299221,"about_ca_system_score_gemma":0.00006111959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002725949,"about_ca_topic_score_gemma":0.00004305405,"domain_scores_codex":[0.998412,0.00009301862,0.0006433885,0.0001805086,0.0004713922,0.0001997094],"domain_scores_gemma":[0.9980832,0.001344435,0.0001759757,0.0001956083,0.0001415797,0.00005915432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002388276,0.000005004812,0.003054186,0.0002403894,0.00004468594,0.000002848856,0.02322019,0.001793337,0.00003352184,0.007836556,0.0005889697,0.9631565],"study_design_scores_gemma":[0.0003865149,0.00003580347,0.01022142,0.0006874027,0.00007930004,0.00005209555,0.04137728,0.8962567,0.00005958721,0.03002682,0.02058257,0.0002345011],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729673,0.005178882,0.0166536,0.0008282577,0.0005600415,0.0001861051,0.00005011356,0.0000650491,0.003510628],"genre_scores_gemma":[0.9987107,0.0006033808,0.00009034867,0.00003902434,0.0001460308,0.00005557601,0.000008434999,0.000006229534,0.0003402683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9629219,"threshold_uncertainty_score":0.9985031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021679757116015,"score_gpt":0.3674170870866598,"score_spread":0.2652491113750583,"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."}}