{"id":"W2746759664","doi":"","title":"確率的利用者均衡を用いたモデリングと解決離散ネットワーク設計問題【Powered by NICT】","year":2016,"lang":"ja","type":"article","venue":"Journal of Advanced Transportation","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Aerospace engineering; Computer science; Systems engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001520278,0.0002184048,0.0002062653,0.0004419713,0.0008292556,0.001168021,0.0006282997,0.0003956697,0.01167949],"category_scores_gemma":[0.0003778687,0.0001540237,0.0001820134,0.0004024413,0.0005365873,0.0008555778,0.0005902357,0.0005232882,0.003448664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008492015,"about_ca_system_score_gemma":0.0004818396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431571,"about_ca_topic_score_gemma":0.00158827,"domain_scores_codex":[0.9998353,0.00001168956,0.000006856385,0.00003441591,0.00007778974,0.00003386757],"domain_scores_gemma":[0.9998473,0.00001982294,0.00002205701,0.00001918493,0.00007344662,0.00001815433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004776429,0.0001699175,0.006209084,0.0007203023,0.00007060926,0.001238412,0.001373169,0.005068939,0.6392567,0.1472522,0.02803988,0.1701231],"study_design_scores_gemma":[0.00003143886,0.0002085893,0.006925866,0.0001265752,0.00009429459,0.001133668,0.001466456,0.0251633,0.6292035,0.01286058,0.3226941,0.0000915889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4090203,0.005918419,0.050071,0.002777027,0.002079354,0.0002256144,0.0009378142,0.001130046,0.5278404],"genre_scores_gemma":[0.9007529,0.001892183,0.01154954,0.0004244396,0.0002315323,0.0001866437,0.0004181946,0.0001083509,0.08443628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01167949,"threshold_uncertainty_score":0.0390718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004916072688546676,"score_gpt":0.2133579776355112,"score_spread":0.2084419049469645,"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."}}