{"id":"W4309152090","doi":"10.1061/9780784484449.028","title":"Lessons Learned from Two Earthquakes That Afflicted Mexico City—After a Pause of 32 Years","year":2022,"lang":"en","type":"article","venue":"Lifelines 2022","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Klohn Crippen Berger (Canada)","funders":"","keywords":"Intraplate earthquake; Seismology; Geology; Ground motion; Event (particle physics); Mexico city; Vulnerability (computing); Magnitude (astronomy); Tectonics; Strong ground motion; Earthquake casualty estimation; Urban seismic risk; History; Seismic hazard","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000328886,0.0001841391,0.000337074,0.0001578894,0.0002687442,0.00003766287,0.000836711,0.00005070487,0.000416876],"category_scores_gemma":[0.00009205072,0.0001887282,0.0001452777,0.0005755441,0.000119249,0.0001869574,0.001173874,0.0003472929,0.00004868198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179254,"about_ca_system_score_gemma":0.00007239437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005974712,"about_ca_topic_score_gemma":0.0002157419,"domain_scores_codex":[0.9980844,0.0002950795,0.0002942443,0.0005319752,0.0004520458,0.0003422806],"domain_scores_gemma":[0.998694,0.0002905928,0.0001528061,0.0007285723,0.00005899634,0.00007501279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232474,0.001329357,0.500288,0.00006124893,0.001735271,0.001612929,0.04625607,0.01107848,0.004078601,0.01196444,0.07149024,0.348873],"study_design_scores_gemma":[0.002853092,0.0004810689,0.6341848,0.00003238022,0.0001035466,0.00005335859,0.002087504,0.007255107,0.001712615,0.0227016,0.3275753,0.0009595988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788419,0.002311705,0.004714747,0.01192935,0.001397014,0.0001651042,0.0001722813,0.000213606,0.0002542676],"genre_scores_gemma":[0.9940907,0.0001286911,0.002462744,0.001773606,0.0002891299,0.00008198973,0.0000317282,0.00001563216,0.001125749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3479134,"threshold_uncertainty_score":0.7696112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676121682236191,"score_gpt":0.2947588583772995,"score_spread":0.2271466901536804,"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."}}