{"id":"W2748543141","doi":"","title":"多発交差点における待ち行列ジャンプ車線を実施により発生した乗算器効果の研究【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; 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":[0.0002875476,0.0002639415,0.0001930559,0.0006941467,0.001197751,0.001145209,0.0004638072,0.0004335759,0.00996579],"category_scores_gemma":[0.0006794459,0.0001898736,0.0002025239,0.0004894331,0.0009598314,0.0008693081,0.0005332837,0.000573639,0.003052153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073688,"about_ca_system_score_gemma":0.0008679162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098052,"about_ca_topic_score_gemma":0.002853719,"domain_scores_codex":[0.9996594,0.0000286138,0.00001842449,0.00006521044,0.0001729135,0.00005538704],"domain_scores_gemma":[0.9995137,0.00007063664,0.000062728,0.00005557892,0.0002588097,0.00003859985],"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":[0.0005597909,0.0002151764,0.02135104,0.0006800678,0.0000987736,0.001934616,0.002604648,0.004624331,0.5414093,0.1397082,0.01843848,0.2683757],"study_design_scores_gemma":[0.00002630732,0.0002741137,0.0250486,0.0001150368,0.0001289912,0.002125031,0.002493853,0.008922683,0.6879297,0.01656631,0.2562677,0.0001015696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4288166,0.004335169,0.05237975,0.001570615,0.00108052,0.0002566492,0.0007386047,0.0006699217,0.5101523],"genre_scores_gemma":[0.9067031,0.001959793,0.01427179,0.0002899891,0.0002173705,0.0001675509,0.000416677,0.00008556675,0.07588831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00996579,"threshold_uncertainty_score":0.03333884,"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."}}