{"id":"W2742759832","doi":"","title":"無信号交差点で出現する衝突回避行動に関する見解の交差場の影響:運転シミュレータ実験に基づく解析【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; Computer science; 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":[0.0002216312,0.0002010695,0.0001820603,0.0005211947,0.0009027843,0.0009903413,0.0005359164,0.0004151388,0.01265828],"category_scores_gemma":[0.0006431086,0.000129404,0.0002008069,0.0003910867,0.0006735092,0.0009247415,0.0005146327,0.000490425,0.001816512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009301911,"about_ca_system_score_gemma":0.0006522344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881496,"about_ca_topic_score_gemma":0.003022527,"domain_scores_codex":[0.9997941,0.00002082272,0.000007375783,0.00003152142,0.0001000315,0.00004617552],"domain_scores_gemma":[0.9996961,0.00006130539,0.00003811591,0.00002964591,0.0001453782,0.00002939625],"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":[0.00168618,0.0004507407,0.03508142,0.001174043,0.0001149356,0.002452747,0.00404146,0.006822718,0.3996327,0.1878125,0.03309363,0.3276369],"study_design_scores_gemma":[0.00006190263,0.0005424562,0.04111009,0.000253129,0.0002069665,0.002367713,0.004847107,0.02387988,0.5904488,0.02326005,0.3128995,0.0001224866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.622416,0.006907174,0.02032671,0.002760617,0.001060547,0.0001690679,0.0005688178,0.0004203139,0.3453708],"genre_scores_gemma":[0.9472303,0.002087654,0.003588291,0.000252441,0.0001401254,0.00008568029,0.0002063148,0.00004612369,0.0463631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265828,"threshold_uncertainty_score":0.04234612,"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."}}