{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614198,0.0005828664,0.0003873153,0.0005845535,0.0002551436,0.000510114,0.0007107215,0.0004022483,0.002537792],"category_scores_gemma":[0.0004891498,0.0001854535,0.0002308577,0.0007146772,0.0001336727,0.0006499593,0.0005643995,0.000311937,0.0007737694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822547,"about_ca_system_score_gemma":0.0004485007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003683216,"about_ca_topic_score_gemma":0.01204672,"domain_scores_codex":[0.9998124,0.00003746894,0.000007471502,0.00005469159,0.00004752771,0.00004042971],"domain_scores_gemma":[0.9998533,0.00003498559,0.00001882583,0.00002905002,0.00005180115,0.00001206701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005620326,0.0001592864,0.008879706,0.0002929136,0.0003042235,0.0004246375,0.0002186511,0.1600354,0.04639249,0.0106049,0.05015912,0.7219667],"study_design_scores_gemma":[0.0001128652,0.0006366355,0.02192037,0.00009648388,0.0003258953,0.0004869446,0.0004368026,0.8761047,0.0185219,0.01422117,0.06707951,0.00005674526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1305777,0.005081391,0.8195029,0.001054943,0.001133456,0.0002118129,0.002644518,0.003848307,0.03594498],"genre_scores_gemma":[0.9050613,0.001275793,0.08314682,0.0003576474,0.0002893978,0.00008648318,0.002140076,0.00006240953,0.007580062],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003683216,"threshold_uncertainty_score":0.008489728,"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."}}