{"id":"W29460710","doi":"10.1017/s1744133117000470","title":"20156 軸組構法木造住宅の地震倒壊応答解析に関する研究 : 新潟中越地震記録を用いた既存木造住宅の倒壊解析例(耐震性評価,構造I)","year":2005,"lang":"en","type":"article","venue":"学術講演梗概集. B-1, 構造I, 荷重・信頼性,応用力学・構造解析,基礎構造,シェル・立体構造・膜構造","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","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":[0.00148865,0.0001502032,0.0001311904,0.000527109,0.002936576,0.003057879,0.0003387565,0.002598809,0.04786968],"category_scores_gemma":[0.001940199,0.000151992,0.0002150595,0.0004721543,0.002616796,0.001191304,0.0008260164,0.001781044,0.006695346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008078019,"about_ca_system_score_gemma":0.005160708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09115481,"about_ca_topic_score_gemma":0.2349504,"domain_scores_codex":[0.9994972,0.0000995756,0.00003368154,0.00006595167,0.0001626522,0.0001409268],"domain_scores_gemma":[0.9991192,0.0001604364,0.00007870691,0.00003866676,0.0003442409,0.0002587361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004228025,0.000329228,0.03426078,0.0004253719,0.00002435119,0.00122589,0.005109589,0.0002409798,0.003779622,0.2920786,0.4715959,0.1905068],"study_design_scores_gemma":[0.00002719123,0.0001532739,0.04721439,0.0002567925,0.00001673557,0.000697667,0.0038831,0.000371902,0.001857611,0.01822075,0.927268,0.00003257488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07392686,0.02125529,0.001722951,0.1309017,0.004038752,0.0001141775,0.0007010733,0.0000994873,0.7672397],"genre_scores_gemma":[0.3533503,0.008783738,0.002333717,0.01921644,0.001362444,0.00004042633,0.0004075391,0.00003178308,0.6144736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09115481,"threshold_uncertainty_score":0.1812485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6311061188126319,"score_gpt":0.6266806480790356,"score_spread":0.004425470733596337,"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."}}