{"id":"W2747613965","doi":"","title":"無関心しきい値ベースモード平衡下での公共輸送サービスオペレーション戦略【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; Environmental science; 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":[0.0001444384,0.0002277285,0.0002160724,0.0004318396,0.0009046941,0.001136873,0.0006459574,0.0004012373,0.01155218],"category_scores_gemma":[0.0003790922,0.0001490384,0.0001857123,0.0004039472,0.0005279354,0.0008500236,0.0006309857,0.0005351063,0.00354232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008227956,"about_ca_system_score_gemma":0.000507003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358868,"about_ca_topic_score_gemma":0.001548454,"domain_scores_codex":[0.9998426,0.00001104794,0.000006718686,0.00003201716,0.00007419399,0.00003339937],"domain_scores_gemma":[0.9998441,0.00001817101,0.00002237207,0.00001998201,0.00007603691,0.0000192691],"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":[0.0004836705,0.0001751839,0.006116749,0.0006915586,0.00006590335,0.001334337,0.001393968,0.00474786,0.6235614,0.1547513,0.03072654,0.1759514],"study_design_scores_gemma":[0.00003150351,0.0002207382,0.006610022,0.0001358446,0.00009441858,0.001356957,0.001446824,0.02734383,0.6075989,0.01326456,0.3418019,0.00009451435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4145699,0.00589009,0.05051795,0.002865405,0.002304144,0.0002342869,0.0009104437,0.001140026,0.5215677],"genre_scores_gemma":[0.8988719,0.001822541,0.0124895,0.0004373256,0.0002459201,0.000205744,0.0004109916,0.0001047572,0.08541126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01155218,"threshold_uncertainty_score":0.03864592,"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."}}