{"id":"W4408483698","doi":"10.5194/egusphere-egu25-20668","title":"Early Warning Tsunami Prediction Using Neural Networks: A Case Study in Vancouver Island, Canada","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Warning system; Artificial neural network; Geography; Early warning system; Cartography; Seismology; Geology; Computer science; Artificial intelligence; Telecommunications","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":[0.0003746977,0.0008528437,0.0003577592,0.000566665,0.001155518,0.0008974672,0.0012037,0.0008226889,0.00123798],"category_scores_gemma":[0.001470426,0.0002794754,0.0003066764,0.00115133,0.0005412449,0.0003553846,0.000465239,0.0007161812,0.0001776176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01111693,"about_ca_system_score_gemma":0.007725604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9727629,"about_ca_topic_score_gemma":0.9738951,"domain_scores_codex":[0.9998119,0.00002392839,0.0000115108,0.00003723258,0.00005200333,0.00006333886],"domain_scores_gemma":[0.9993646,0.0001643229,0.0000259521,0.00002252381,0.000334804,0.00008784456],"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":[0.0003695088,0.0004472481,0.07600632,0.0001608939,0.00009709359,0.002616668,0.0002486122,0.8796138,0.001414615,0.001180093,0.00772948,0.03011574],"study_design_scores_gemma":[0.00005390159,0.00005515058,0.02157303,0.0000173837,0.00002187504,0.00003865793,0.0005480179,0.9756932,0.0006216496,0.0002400984,0.001116486,0.00002049199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911978,0.0003058162,0.001725749,0.0006569422,0.00003205017,0.00008048602,0.001420737,0.0001230855,0.004457338],"genre_scores_gemma":[0.9936683,0.0002390898,0.001643663,0.00005473507,0.000005686823,0.00001892304,0.001366926,0.00001137485,0.002991313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02723712,"threshold_uncertainty_score":0.08065939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993379801681858,"score_gpt":0.2499281104662557,"score_spread":0.2299943124494371,"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."}}