{"id":"W2745928510","doi":"","title":"バススケジュール設計における移動配位と結合した時間制御点戦略【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":[0.0002522899,0.0002751566,0.0002061624,0.0006926985,0.00110878,0.001069519,0.0004402265,0.000455332,0.007305049],"category_scores_gemma":[0.0006358433,0.0001829136,0.000225024,0.0004829523,0.000876488,0.0008952794,0.0005867612,0.0005664404,0.002475092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818029,"about_ca_system_score_gemma":0.0006614055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570083,"about_ca_topic_score_gemma":0.001396215,"domain_scores_codex":[0.9997026,0.00002901874,0.00001500875,0.00006375,0.0001344369,0.00005512758],"domain_scores_gemma":[0.9996686,0.00005347896,0.000044649,0.00004453941,0.000162708,0.00002601367],"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":[0.0005493156,0.0001775323,0.014916,0.0008196449,0.0001035237,0.002593756,0.002446693,0.003859679,0.4787136,0.2173921,0.02153111,0.256897],"study_design_scores_gemma":[0.00002664289,0.0002013365,0.01193208,0.0001310999,0.0001255513,0.002298357,0.002041527,0.01165041,0.6521857,0.02116472,0.2981345,0.0001079774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4167031,0.006194878,0.07220391,0.001783292,0.001582684,0.0002315799,0.0008083571,0.0009402458,0.4995519],"genre_scores_gemma":[0.9189469,0.002283923,0.01853451,0.000344955,0.0002737159,0.000181235,0.0004597876,0.0001062683,0.0588687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007305049,"threshold_uncertainty_score":0.02443784,"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."}}