{"id":"W26232743","doi":"10.1016/j.neuropsychologia.2015.07.025","title":"ARとHMDを用いて災害を疑似体験させる防災教育システムの試作(スキル教育と学習支援環境/一般)","year":2014,"lang":"en","type":"article","venue":"電子情報通信学会技術研究報告. ET, 教育工学","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005427035,0.0003123191,0.0002456642,0.000590872,0.000516317,0.001035267,0.0005915835,0.0004676498,0.01048109],"category_scores_gemma":[0.0005092186,0.0001462697,0.0003241443,0.0001761821,0.001328583,0.000677282,0.000741802,0.0008112492,0.002711377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007544621,"about_ca_system_score_gemma":0.0003461388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849889,"about_ca_topic_score_gemma":0.001719422,"domain_scores_codex":[0.9997458,0.00002715915,0.00003102779,0.00006287998,0.00009627001,0.00003687081],"domain_scores_gemma":[0.9997308,0.00003656756,0.00009581574,0.00007095225,0.0000401443,0.00002577557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000825809,0.0002310944,0.0246912,0.0005686714,0.0001498306,0.01900637,0.002367048,0.0009872254,0.4312641,0.1189091,0.007486581,0.393513],"study_design_scores_gemma":[0.00009021363,0.001043773,0.07028057,0.000155275,0.0001747826,0.09665629,0.002644187,0.002542354,0.5182901,0.03700789,0.2709849,0.0001297078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7177933,0.004879241,0.03644821,0.002270956,0.0008753718,0.0002373173,0.001267322,0.0009331539,0.2352951],"genre_scores_gemma":[0.9492207,0.0007322585,0.01327738,0.0002726289,0.00007318852,0.00005169532,0.000328917,0.00005851414,0.03598464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048109,"threshold_uncertainty_score":0.03506273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349424315665388,"score_gpt":0.337962317301205,"score_spread":0.2030198857346662,"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."}}