{"id":"W4414015752","doi":"10.11159/cist25.129","title":"Analysis of Factors Affecting Decision-Making Process of Offshore Application Maintenance using ISM Approach","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Authority for Applied Education and Training","keywords":"Process (computing); Submarine pipeline; Computer science; Decision-making; Reliability engineering; Risk analysis (engineering); Engineering; Process engineering; Business; Geotechnical 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":[],"consensus_categories":[],"category_scores_codex":[0.0002700048,0.0001131924,0.000306261,0.0007826164,0.0000663325,0.00003581482,0.000310531,0.00003587816,5.473053e-8],"category_scores_gemma":[0.00002937755,0.00008280083,0.00004229777,0.002893104,0.00009604065,0.00009289535,0.00009393522,0.0001147857,4.522239e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327839,"about_ca_system_score_gemma":0.000009219159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004587236,"about_ca_topic_score_gemma":4.596618e-7,"domain_scores_codex":[0.9991777,0.00000183095,0.0002543941,0.0002101822,0.0001932411,0.0001626497],"domain_scores_gemma":[0.9995707,0.00008117554,0.0001236935,0.00009460263,0.0001086345,0.00002114112],"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":[0.00001659015,0.00006902555,0.05921885,0.001721993,0.0004941749,1.900846e-7,0.0003540103,0.8179007,0.01323238,0.0874668,0.00003717823,0.01948808],"study_design_scores_gemma":[0.00006796984,0.00001583606,0.01611581,0.0003900913,0.00008774796,8.357091e-7,0.00005792152,0.9802202,0.002918948,0.00004277236,0.000009014014,0.00007285182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929008,0.0001981037,0.1063189,0.000004498197,0.0001953881,0.000178725,7.490036e-7,0.00005102197,0.0001519159],"genre_scores_gemma":[0.9985375,0.000008394843,0.001423229,0.000002029318,0.000007891064,0.000006921121,8.556409e-8,0.0000047966,0.000009156494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1623195,"threshold_uncertainty_score":0.337652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005035463635007755,"score_gpt":0.2320343815274192,"score_spread":0.2269989178924114,"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."}}