{"id":"W3163337853","doi":"","title":"プライベートバス位置追跡情報システムの設計,検証および比較解析【JST・京大機械翻訳】","year":2020,"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":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001472789,0.0003066365,0.0005539071,0.0001604985,0.00007589369,0.00002027974,0.0003026555,0.0002886687,0.0002293963],"category_scores_gemma":[0.00005094542,0.0003116834,0.0002910479,0.0004119595,0.00008394072,0.0009198854,0.000002475466,0.0009298034,0.00003646182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000526905,"about_ca_system_score_gemma":0.00007587771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003163979,"about_ca_topic_score_gemma":0.00002595993,"domain_scores_codex":[0.9980043,0.00003102226,0.001111016,0.0002067955,0.0003334139,0.000313521],"domain_scores_gemma":[0.9989962,0.00005218909,0.0003692663,0.0001551523,0.000211859,0.0002153077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008903329,0.000140314,0.001927896,0.001066012,0.0006267993,0.0009609847,0.02033676,0.8923358,0.04340438,0.01572091,0.001240719,0.02134911],"study_design_scores_gemma":[0.02271128,0.01128596,0.6951143,0.003030438,0.003183233,0.0003737209,0.06579975,0.01039911,0.04582443,0.05932532,0.07841637,0.004536053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576491,0.01426024,0.01818787,0.004493608,0.001866416,0.0002823946,0.00009204204,0.0002257903,0.002942549],"genre_scores_gemma":[0.9861184,0.003320957,0.009874236,0.0001892089,0.0003954068,0.000002404539,0.00002557118,0.00004475955,0.00002907826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8819367,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009294862867174056,"score_gpt":0.2206331719163166,"score_spread":0.2113383090491425,"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."}}