{"id":"W4392651812","doi":"10.5194/egusphere-egu24-20139","title":"Evaluation of stochastic source models for the fault displacement hazard analyses using InSAR data: 2019 Ridgecrest earthquakes&amp;#160;","year":2024,"lang":"en","type":"preprint","venue":"","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interferometric synthetic aperture radar; Seismology; Hazard; Fault (geology); Displacement (psychology); Seismic hazard; Geology; Geodesy; Stochastic modelling; Econometrics; Statistics; Mathematics; Remote sensing; Synthetic aperture radar","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":[0.002205502,0.0007060667,0.0003283804,0.0008765708,0.0002640719,0.0006380782,0.0008161273,0.0006921425,0.0004336489],"category_scores_gemma":[0.005245418,0.0003014739,0.0006120589,0.0004000241,0.0002791798,0.0006413531,0.0004668074,0.0004586107,0.0001089427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008731376,"about_ca_system_score_gemma":0.0008027075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627766,"about_ca_topic_score_gemma":0.01088063,"domain_scores_codex":[0.9995434,0.0002295169,0.00002914295,0.000072642,0.00008515775,0.00004011098],"domain_scores_gemma":[0.9959931,0.003228133,0.0002878164,0.0001287827,0.0002865404,0.00007563275],"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":[0.00008433661,0.00007605739,0.006695886,0.00002567974,0.00004983273,0.00004564286,0.00003627978,0.9825773,0.0006312034,0.001150744,0.0001168783,0.008510173],"study_design_scores_gemma":[0.0000038718,0.00001559126,0.0007743553,0.000001325257,0.00000375634,0.000004576169,0.000008054631,0.9988801,0.0001572148,0.0001268533,0.00002190825,0.00000237796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029338,0.0001794181,0.0938891,0.000241682,0.00001785097,0.00007760411,0.0004241636,0.0003762421,0.001860077],"genre_scores_gemma":[0.9888312,0.00006622351,0.01048124,0.00001677337,0.000009343996,0.00002833289,0.0003386449,0.00001372054,0.0002145071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627766,"threshold_uncertainty_score":0.03236586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3483084275772162,"score_gpt":0.4039154662116645,"score_spread":0.05560703863444832,"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."}}