{"id":"W4322005117","doi":"10.5194/egusphere-egu23-9094","title":"Tailoring tsunami Digital-Twins for future Destination Earth integration","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":"Geomechanica (Canada)","funders":"","keywords":"Geology; Seismology; Data assimilation; Computer science; Meteorology; Geography","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":[0.0007586111,0.0006153971,0.0004105704,0.0005514669,0.0002061581,0.001252571,0.001071741,0.0004435572,0.004597351],"category_scores_gemma":[0.003347686,0.0003480454,0.0005100386,0.00058188,0.0002952711,0.001498905,0.002171782,0.0006299456,0.001606051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872525,"about_ca_system_score_gemma":0.0005080064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749912,"about_ca_topic_score_gemma":0.003308753,"domain_scores_codex":[0.9997458,0.00002768246,0.00001844823,0.00004815983,0.0001112274,0.00004875908],"domain_scores_gemma":[0.999551,0.00004840436,0.00002257782,0.0001627998,0.0001561652,0.00005902262],"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":[0.001871075,0.0002917128,0.03361338,0.0002622808,0.0003120615,0.0004849139,0.0005165077,0.4300195,0.04013426,0.02628521,0.03204895,0.4341601],"study_design_scores_gemma":[0.00007990198,0.0000881926,0.003073402,0.0000185371,0.00004264756,0.00006796517,0.00009061336,0.9383419,0.02632167,0.006534168,0.02530533,0.00003581592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.197145,0.0001933823,0.7539669,0.000359789,0.0004360683,0.0002429278,0.002784339,0.03018221,0.01468948],"genre_scores_gemma":[0.7599694,0.0001427013,0.2235532,0.0001666352,0.0000579899,0.000130209,0.008511958,0.00248768,0.004980263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004597351,"threshold_uncertainty_score":0.01537973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481852226576754,"score_gpt":0.2758449218801612,"score_spread":0.2276596992224858,"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."}}