{"id":"W4243349594","doi":"10.3940/rina.ijme.2019.a1.514","title":"International Development and Validation of a Distributed Simulation for Naval Ship Replenishment at Sea","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payload (computing); Marine engineering; High-level architecture; Distributed Interactive Simulation; Sea trial; Synchronization (alternating current); Software; Simulation software; Modeling and simulation; Naval architecture; Computer science; Systems engineering; Engineering; Simulation; Interoperability; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005261688,0.0006215083,0.0005606795,0.000779127,0.0009720303,0.001341115,0.001693564,0.0008429933,0.002849038],"category_scores_gemma":[0.004983454,0.0003262954,0.0008025782,0.0007368203,0.000924065,0.0009530804,0.001433349,0.001237562,0.0005616546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057917,"about_ca_system_score_gemma":0.005078386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275006,"about_ca_topic_score_gemma":0.0121905,"domain_scores_codex":[0.9983124,0.0006718276,0.0001078943,0.0001991481,0.0005663802,0.0001423648],"domain_scores_gemma":[0.9958749,0.00112499,0.00008983912,0.0009013833,0.001658431,0.000350391],"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":[0.0002339211,0.000334906,0.004252325,0.0001093489,0.00006475163,0.0001163116,0.0003194853,0.8844442,0.01136966,0.01408204,0.001899206,0.08277377],"study_design_scores_gemma":[0.0002567995,0.0003335759,0.001709661,0.00005657466,0.00003875119,0.00006031981,0.0001178236,0.9596328,0.01285425,0.003231505,0.02167988,0.00002808652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1820457,0.0004316868,0.7730498,0.000940866,0.0002745602,0.0006899704,0.0006199464,0.002946192,0.03900122],"genre_scores_gemma":[0.6615536,0.0004720212,0.32692,0.00008167427,0.00003213781,0.0004619832,0.001737835,0.0003389576,0.008401798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02275006,"threshold_uncertainty_score":0.04523528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286755943913762,"score_gpt":0.4244080319867727,"score_spread":0.2957324375953966,"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."}}