{"id":"W7115704122","doi":"10.71846/18-wcee-3096","title":"USE OF GROUND MOTION SIMULATIONS OF MEGATHRUST EVENTS IN CAT MODELLING FOR THE INSURANCE INDUSTRY","year":2025,"lang":"en","type":"article","venue":"World Conference of Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subduction; Context (archaeology); Seismic hazard; Strong ground motion; Magnitude (astronomy); Ground motion; Seismic risk","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525408,0.000656153,0.0005046582,0.0007110677,0.0003740838,0.001336242,0.0009270395,0.001657481,0.002103313],"category_scores_gemma":[0.002103287,0.0003273155,0.0007255895,0.0004677418,0.0004491551,0.0006053624,0.0006096596,0.0006702764,0.0002109082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008385506,"about_ca_system_score_gemma":0.0008715579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03415453,"about_ca_topic_score_gemma":0.02072563,"domain_scores_codex":[0.999842,0.00006442321,0.00001367821,0.00002388119,0.00003023593,0.00002564916],"domain_scores_gemma":[0.9991289,0.0005290671,0.0001221677,0.00005528974,0.00009760397,0.00006701541],"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":[0.000008282407,0.00001427451,0.001059935,0.000005470256,0.000008271751,0.00002504419,0.00001268694,0.9977853,0.0001639669,0.0002895081,0.00002654537,0.0006006057],"study_design_scores_gemma":[0.000002519987,0.000004896301,0.0003069968,0.000001981831,0.000001761892,0.000003143762,0.000006609689,0.9994369,0.00005666319,0.0001053165,0.00007126594,0.000001973896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258258,0.0002541912,0.06032548,0.0004423515,0.0000650275,0.0001059356,0.0007268025,0.0003702684,0.01188414],"genre_scores_gemma":[0.9924353,0.000109172,0.006153332,0.00003389884,0.000009878491,0.00004319759,0.0002696077,0.00003046913,0.0009151931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03415453,"threshold_uncertainty_score":0.06791145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05320629859322359,"score_gpt":0.2366987111074151,"score_spread":0.1834924125141915,"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."}}