{"id":"W12572906","doi":"10.5507/bp.2002.020","title":"40388 地方都市におけるコンパクトシティ検討のための基礎的研究 : その2 宇都宮市の中心市街地における建物実態調査とケーススタディ(低炭素地域都市づくり,環境工学I)","year":2009,"lang":"en","type":"article","venue":"学術講演梗概集. D-1, 環境工学I, 室内音響・音環境, 騒音・固体音, 環境振動, 光・色, 給排水・水環境, 都市設備・環境管理, 環境心理生理, 環境設計, 電磁環境","topic":"Drug-Induced Adverse Reactions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001309433,0.000150405,0.000131688,0.0005915071,0.0003308626,0.0008249513,0.0001955881,0.0003170756,0.003878509],"category_scores_gemma":[0.002702617,0.0001315825,0.0001082322,0.0007417045,0.001018242,0.0005665195,0.0001642545,0.0002607509,0.0008656885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777356,"about_ca_system_score_gemma":0.0004116426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003727387,"about_ca_topic_score_gemma":0.005458171,"domain_scores_codex":[0.999602,0.0001140641,0.00005868168,0.00007454583,0.0001020734,0.00004868019],"domain_scores_gemma":[0.9988353,0.0003809693,0.0005215022,0.00003833583,0.0001454754,0.00007845586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005996786,0.0001872879,0.9234796,0.000194341,0.00004892948,0.001066976,0.0007831752,0.0001100139,0.002189747,0.000858584,0.001477366,0.06900433],"study_design_scores_gemma":[0.00006305877,0.00112201,0.9689299,0.0001315716,0.0001245878,0.009192849,0.00129368,0.0002771083,0.003061393,0.001091131,0.01469628,0.00001627302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671776,0.01849771,0.0007854631,0.0008219048,0.00006996878,0.00006927462,0.0004560415,0.000007580303,0.01211442],"genre_scores_gemma":[0.9929771,0.004304208,0.0008251093,0.0002315084,0.000152357,0.00002635315,0.0002454896,0.000002031641,0.001235977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003878509,"threshold_uncertainty_score":0.01297492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851047364123718,"score_gpt":0.3310447602206169,"score_spread":0.3125342865793797,"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."}}