{"id":"W4321492370","doi":"10.5194/egusphere-egu23-1263","title":"Earthquake Early Warning: observe, analyse, deduce and act in seconds","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"GNSS applications; Warning system; Subduction; Seismology; Architecture; Computer science; Key (lock); Property (philosophy); Latency (audio); Computer security; Warning signs; Geology; Global Positioning System; Geography; Telecommunications; Transport engineering; Engineering; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009220347,0.0007932928,0.0004063164,0.001443012,0.0002931886,0.001672538,0.0005502389,0.0005261224,0.006706121],"category_scores_gemma":[0.004746966,0.000275584,0.0001744098,0.0007917114,0.0004481998,0.001348342,0.000965738,0.0008314216,0.004673369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763355,"about_ca_system_score_gemma":0.0005776588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003539606,"about_ca_topic_score_gemma":0.003262657,"domain_scores_codex":[0.9992222,0.0001440627,0.00005174012,0.0001242772,0.0003735154,0.00008424072],"domain_scores_gemma":[0.9983103,0.0006868975,0.0001721658,0.0003153624,0.0003614697,0.0001538382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002018677,0.0002617013,0.02844769,0.0003703782,0.00009100767,0.0005258836,0.001865423,0.01713261,0.04131376,0.0173804,0.08641686,0.8041756],"study_design_scores_gemma":[0.0002861676,0.0008521976,0.04384791,0.0002199698,0.0001529866,0.00110213,0.001887726,0.5827332,0.09938034,0.03060629,0.238694,0.0002371736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1358468,0.001211512,0.6718178,0.002026091,0.0006220834,0.0007466897,0.006752787,0.1261316,0.05484463],"genre_scores_gemma":[0.7340755,0.0006613739,0.240023,0.00041449,0.0002361949,0.0002855991,0.004445644,0.001986945,0.01787123],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006706121,"threshold_uncertainty_score":0.02243418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872274225453371,"score_gpt":0.2787022660423309,"score_spread":0.2199795237877972,"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."}}