{"id":"W2743075182","doi":"","title":"追突事故を回避するための遺伝的アルゴリズム最適化ファジィ論理制御装置【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; Systems engineering; Computer science","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":[0.0001676157,0.0002097805,0.0002033734,0.0004656761,0.0008730016,0.001291796,0.0005969133,0.0003982858,0.01177495],"category_scores_gemma":[0.0003886831,0.0001458683,0.0001747343,0.0004070823,0.0006026737,0.0009560771,0.0005988525,0.0005221051,0.003241805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009441547,"about_ca_system_score_gemma":0.0005447294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734679,"about_ca_topic_score_gemma":0.001850968,"domain_scores_codex":[0.999833,0.00001314117,0.000007032686,0.00003361064,0.00007925607,0.00003395501],"domain_scores_gemma":[0.9998393,0.0000209217,0.00002170777,0.00001854136,0.00008147975,0.00001799567],"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":[0.0004598963,0.0001824348,0.007659228,0.0007737029,0.00007746679,0.001287793,0.001833449,0.006066849,0.5223811,0.2170348,0.03125423,0.2109891],"study_design_scores_gemma":[0.00003455003,0.0002235161,0.009026278,0.0001601764,0.0001065753,0.001229442,0.002238442,0.02629317,0.5221883,0.02132121,0.4170718,0.0001066282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3489223,0.00595398,0.04758583,0.002914454,0.001760073,0.0002006852,0.0008044913,0.0008850274,0.5909732],"genre_scores_gemma":[0.8908497,0.002176226,0.01200513,0.0004017218,0.0002391736,0.0001817751,0.0003644338,0.0001015652,0.09368025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01177495,"threshold_uncertainty_score":0.03939116,"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."}}