{"id":"W2750439447","doi":"","title":"スリランカ,Colomboのための運転サイクルの開発:発展途上国のための経済的アプローチ【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; Engineering; Aerospace 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":[0.0002112175,0.0002483534,0.000195569,0.000608757,0.001572487,0.0007646719,0.0004581041,0.0004800915,0.01247385],"category_scores_gemma":[0.0006111929,0.0001141461,0.0001680649,0.0005593536,0.0007025586,0.0006468749,0.0008438974,0.0003996399,0.001592489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086475,"about_ca_system_score_gemma":0.0008877871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174654,"about_ca_topic_score_gemma":0.01500004,"domain_scores_codex":[0.9998224,0.00001620755,0.000007180214,0.00003448505,0.000072034,0.00004772767],"domain_scores_gemma":[0.9998388,0.0000295241,0.00002336419,0.00001610102,0.00006546842,0.00002670031],"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":[0.002554908,0.0003492181,0.04072402,0.001462686,0.00009689301,0.005964665,0.006630197,0.003601394,0.4350658,0.124953,0.06755758,0.3110396],"study_design_scores_gemma":[0.0001362904,0.0007028109,0.05750019,0.0003998579,0.0001758448,0.003545179,0.005155815,0.01104402,0.2117346,0.01524101,0.6941847,0.0001798301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.601934,0.008508323,0.0102317,0.006233608,0.001642383,0.0002856402,0.00104513,0.0003757527,0.3697435],"genre_scores_gemma":[0.9267299,0.003628479,0.005997191,0.0007666486,0.0002432253,0.0001635009,0.0004420042,0.00008031705,0.0619486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01247385,"threshold_uncertainty_score":0.04172921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005000636421634786,"score_gpt":0.2153882319584692,"score_spread":0.2103875955368344,"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."}}