{"id":"W2753219834","doi":"","title":"モデル化公共輸送搭載混雑:スケジュールに基づくおよびエージェントベース割当アプローチとの比較【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; Environmental 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":[0.0001497938,0.0001843611,0.0001919919,0.0003888842,0.0007883061,0.001120038,0.0006010764,0.0004055933,0.009996497],"category_scores_gemma":[0.0004009683,0.0001363316,0.0001682156,0.0003626874,0.000638097,0.0009245798,0.0005747719,0.000491355,0.001982251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440452,"about_ca_system_score_gemma":0.0003690545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009641525,"about_ca_topic_score_gemma":0.00102283,"domain_scores_codex":[0.9998667,0.00001128651,0.000005067528,0.000026079,0.00005942675,0.00003127845],"domain_scores_gemma":[0.9998741,0.00002185666,0.00001988903,0.00001486089,0.00005246371,0.00001681161],"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":[0.0007406997,0.0001984171,0.006225678,0.00100847,0.0000813259,0.001486307,0.001921041,0.006337674,0.503006,0.2662624,0.02745091,0.185281],"study_design_scores_gemma":[0.00004423667,0.0003089895,0.008192462,0.0001745115,0.0001221338,0.001428334,0.002062729,0.03522411,0.6120133,0.02937018,0.3109377,0.0001213531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413716,0.008634579,0.03696705,0.003434205,0.002262942,0.0001518151,0.000613801,0.0006818125,0.4058822],"genre_scores_gemma":[0.9447231,0.001830907,0.00618265,0.0002948797,0.0001885785,0.0001004684,0.0002128509,0.00006453198,0.04640215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009996497,"threshold_uncertainty_score":0.03344166,"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."}}