{"id":"W3036307510","doi":"","title":"A new probabilistic seismic hazard assessment for greater Tokyo","year":2006,"lang":"en","type":"article","venue":"AGUFM","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Hazard; Seismology; Capital (architecture); Geography; Forensic engineering; History; Geology; Engineering; Archaeology","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":[0.0008074489,0.0009446577,0.0003537334,0.001519629,0.0004710134,0.001010894,0.0006592171,0.0004188239,0.004418028],"category_scores_gemma":[0.002574736,0.000368341,0.000641864,0.001037339,0.0002690802,0.00113299,0.001063556,0.0004538212,0.0003758757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383382,"about_ca_system_score_gemma":0.001824643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04645586,"about_ca_topic_score_gemma":0.05511228,"domain_scores_codex":[0.9996692,0.00009951194,0.00001797642,0.00008267914,0.0001013314,0.00002937575],"domain_scores_gemma":[0.9995793,0.0001218183,0.00005969237,0.00003859082,0.0001596257,0.00004101122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003186759,0.00008332009,0.06010215,0.0002070056,0.0002464536,0.0004072454,0.0004846857,0.7614695,0.004003612,0.0105816,0.009853591,0.1522421],"study_design_scores_gemma":[0.00004559661,0.0002215869,0.0354355,0.00002555812,0.00008828073,0.0001596848,0.0003055628,0.9467331,0.0006314241,0.007085345,0.009223365,0.00004492722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5959403,0.001005372,0.3726671,0.001188074,0.0001028403,0.0005341548,0.006640682,0.001206282,0.02071527],"genre_scores_gemma":[0.9180629,0.0003765701,0.07090479,0.00005878594,0.00004406947,0.0002317365,0.003962548,0.00009627677,0.006262235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04645586,"threshold_uncertainty_score":0.09237093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898322625761788,"score_gpt":0.2265426933902767,"score_spread":0.2175594671326588,"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."}}