{"id":"W4377200926","doi":"10.7210/jrsj.41.399","title":"hakoniwa-ros2sim: A Simulation Method for ROS 2 Application Using a Virtual Environment","year":2023,"lang":"en","type":"article","venue":"Journal of the Robotics Society of Japan","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Cloud computing; Computer science; Robotics; Development (topology); Robot; Virtual machine; Internet of Things; Development environment; Artificial intelligence; Core (optical fiber); Human–computer interaction; Systems engineering; Embedded system; Engineering; Operating system; Software engineering; Mathematics; Telecommunications","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":[0.0006444747,0.0007837599,0.0004273001,0.0005068866,0.0006045903,0.0009341514,0.001849863,0.0006978904,0.008691387],"category_scores_gemma":[0.001406339,0.0005562791,0.0007990466,0.0003006536,0.0004043178,0.00135808,0.001333426,0.001136097,0.001591299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826594,"about_ca_system_score_gemma":0.001183139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968938,"about_ca_topic_score_gemma":0.005888117,"domain_scores_codex":[0.9997132,0.00007465857,0.0000264637,0.00004777091,0.0001024622,0.00003537805],"domain_scores_gemma":[0.9994235,0.0001985683,0.00004116532,0.0001253546,0.000141285,0.00007008082],"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":[0.0009773622,0.0005529991,0.01025942,0.001037603,0.0004964307,0.0006444945,0.00156171,0.6136173,0.06392086,0.05818611,0.04836129,0.2003844],"study_design_scores_gemma":[0.00009355482,0.0000594276,0.0003698061,0.00002998613,0.00003050163,0.0001033714,0.00006426722,0.9421436,0.01474969,0.003625839,0.03868205,0.00004794929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0156833,0.00008464362,0.9462223,0.0001124453,0.0001349984,0.0001981407,0.0006252199,0.0307746,0.00616433],"genre_scores_gemma":[0.3532594,0.0003565589,0.6227493,0.0001530454,0.0000301505,0.0009027683,0.00251117,0.01004334,0.009994349],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008691387,"threshold_uncertainty_score":0.02907562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274239937260077,"score_gpt":0.283227631248105,"score_spread":0.2558036375220973,"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."}}