{"id":"W837832250","doi":"","title":"Research into the Development of HLA-based Ship Safety Assessment Simulation with Systems Engineering","year":2008,"lang":"en","type":"article","venue":"Journal of Ocean Engineering and Technology","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Shipbuilding; Reuse; High-level architecture; Damages; Naval architecture; Systems engineering; Transport engineering; Construction engineering; Computer science; Interoperability; Marine engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617706,0.0001320827,0.0002735859,0.0007324885,0.0001168297,0.00001899657,0.0005270575,0.0001010027,1.745261e-7],"category_scores_gemma":[0.0005523721,0.00009088665,0.00002433402,0.0008755056,0.00008133562,0.0001571326,0.0001147169,0.0005872134,1.477713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319473,"about_ca_system_score_gemma":0.0001835533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.644308e-7,"about_ca_topic_score_gemma":1.844431e-7,"domain_scores_codex":[0.9987576,0.00004469687,0.0004423424,0.0001428281,0.000373504,0.0002390404],"domain_scores_gemma":[0.9980084,0.001154397,0.0001607044,0.0002855552,0.0003419815,0.00004892085],"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":[0.000006994655,0.00001228285,0.0005263001,0.00006919676,0.00003404343,0.00002255195,0.0004602553,0.9931621,0.0009952921,0.002239059,0.000002766073,0.002469159],"study_design_scores_gemma":[0.0005799677,0.0004144779,0.005897589,0.0003694289,0.000008979619,0.0002763904,0.0002345958,0.9842152,0.006139954,0.0001968282,0.001442879,0.0002237233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184153,0.000528367,0.7805515,0.0001462644,0.0001653711,0.00006966198,1.321379e-7,0.000121153,0.00000227645],"genre_scores_gemma":[0.5636373,0.00001467924,0.4363185,8.647248e-7,0.00001583724,0.000001529901,1.021497e-7,0.000008511768,0.000002709631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.345222,"threshold_uncertainty_score":0.370625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084688599051834,"score_gpt":0.3236455055312853,"score_spread":0.272798619540767,"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."}}