{"id":"W3181052727","doi":"","title":"霧条件下の非信号交差点における対話型運転行動に及ぼす警報システムの影響:マルチユーザ運転シミュレーションに基づく研究【JST・京大機械翻訳】","year":2020,"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":"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":[0.0009355423,0.0002316029,0.0001692988,0.0008897221,0.001690338,0.002945412,0.0003710903,0.000771873,0.01216741],"category_scores_gemma":[0.002525684,0.0001718561,0.000252093,0.0006482018,0.003638354,0.002760392,0.0006639647,0.001032499,0.001500457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935895,"about_ca_system_score_gemma":0.002174348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009387263,"about_ca_topic_score_gemma":0.007908036,"domain_scores_codex":[0.9994667,0.00007187363,0.00003349192,0.0001115547,0.0002354246,0.00008089906],"domain_scores_gemma":[0.9985853,0.0003843087,0.0001916445,0.00007392093,0.0005991188,0.000165637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001890181,0.0001979851,0.02575252,0.0003717575,0.00008228583,0.001916115,0.02059809,0.002286855,0.0117058,0.7547231,0.016252,0.1659245],"study_design_scores_gemma":[0.00005965112,0.0002983333,0.1189227,0.0003575792,0.0002646194,0.002533493,0.04373851,0.005908802,0.02312548,0.451115,0.3535108,0.0001650039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3584013,0.003066853,0.01534536,0.01049191,0.0008382861,0.0001029896,0.0002768828,0.00008592108,0.6113905],"genre_scores_gemma":[0.9397259,0.001534525,0.004420415,0.0004894932,0.0003222888,0.00003916194,0.0000904015,0.00002611212,0.05335166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01216741,"threshold_uncertainty_score":0.04070401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009294862867174056,"score_gpt":0.2206331719163166,"score_spread":0.2113383090491425,"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."}}