{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161398,0.0002880421,0.0004680508,0.00020573,0.00006530856,0.00001203474,0.0002763454,0.0003097977,0.0002941202],"category_scores_gemma":[0.00004029466,0.0002180953,0.0002359228,0.0002180715,0.0001156926,0.00106305,0.000001713906,0.0003946234,0.00002729626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009920888,"about_ca_system_score_gemma":0.00005744872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003232325,"about_ca_topic_score_gemma":0.00003435366,"domain_scores_codex":[0.9980807,0.00003118993,0.001048523,0.0001886628,0.0003063621,0.0003445557],"domain_scores_gemma":[0.9989227,0.0001211092,0.0003940201,0.0002207105,0.0002094227,0.000132024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001574098,0.0003678608,0.002759783,0.0004565097,0.001012713,0.0004176899,0.005411786,0.02560675,0.8154632,0.01439795,0.007755456,0.1247762],"study_design_scores_gemma":[0.04099897,0.008941853,0.3545082,0.007333113,0.002295563,0.0004577997,0.01779683,0.0002398412,0.2051909,0.1472142,0.2102091,0.004813664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545348,0.01889881,0.02039217,0.001716245,0.002211937,0.0002056869,0.0002389785,0.0001459817,0.001655447],"genre_scores_gemma":[0.9866677,0.01005641,0.002751429,0.00002878692,0.0001327833,0.000003268801,0.00001578668,0.00004124659,0.0003026224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6102723,"threshold_uncertainty_score":0.8893666,"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."}}