{"id":"W4386932800","doi":"10.1007/978-981-99-5088-1_19","title":"Coordinated Network of Sensors Over 5G for High-Resolution Protection of City Assets During Earthquakes","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rogers Communications (Canada); University of British Columbia","funders":"","keywords":"Warning system; Seismology; Wireless sensor network; Electricity; Asset (computer security); Computer science; Earthquake prediction; Computer security; Engineering; Computer network; Geology; Telecommunications; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005697602,0.0003026601,0.0007896702,0.0001433313,0.0001642963,0.0000311372,0.0001900362,0.0006828318,0.000001933864],"category_scores_gemma":[0.00009166334,0.0002702342,0.0001159258,0.0001945173,0.0001246429,0.00007246666,0.000098875,0.0003961243,5.904569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003212077,"about_ca_system_score_gemma":0.00002503284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003281226,"about_ca_topic_score_gemma":0.0002673794,"domain_scores_codex":[0.9982935,0.0000951254,0.0006014248,0.0004791886,0.0001799334,0.0003508076],"domain_scores_gemma":[0.9984036,0.0005361933,0.000526871,0.0003288939,0.0001682797,0.00003617216],"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":[0.0001693111,0.00001490858,0.00210981,0.0007723605,0.0003159033,0.00001664621,0.0002442361,0.9580659,0.00003508855,0.03060084,0.0001930145,0.007461959],"study_design_scores_gemma":[0.00236316,0.0009699697,0.06903092,0.005158958,0.000170488,0.0000820484,0.00001062019,0.8610225,0.0002102582,0.05791996,0.001745138,0.001315998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0534143,0.008549214,0.9298309,0.0002341932,0.004542486,0.002406821,0.00003945666,0.0002063838,0.0007762168],"genre_scores_gemma":[0.9972695,0.0002562396,0.0002596916,0.00001213386,0.0005226344,0.00004673972,0.00001576155,0.00002832543,0.001589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438552,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287697890892611,"score_gpt":0.225674850271528,"score_spread":0.2027978713626019,"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."}}