{"id":"W3043150798","doi":"10.1080/21664250.2020.1780676","title":"Uncertainty of probabilistic tsunami hazard assessment of Zihuatanejo (Mexico) due to the representation of tsunami variability","year":2020,"lang":"en","type":"article","venue":"Coastal Engineering Journal","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Weighting; Probabilistic logic; Seismology; Fault tree analysis; Seismic hazard; Monte Carlo method; Geology; Slip (aerodynamics); Hazard; Return period; Hazard analysis; Fault (geology); Moment magnitude scale; Statistics; Geography; Mathematics; Engineering; Reliability engineering","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":[0.0006063623,0.0003789248,0.0002073288,0.0008736423,0.0002699665,0.0009332236,0.000346385,0.0002816001,0.0006971798],"category_scores_gemma":[0.001999371,0.0001848084,0.000283605,0.0006223782,0.0002544347,0.0005702991,0.0005329989,0.0002410298,0.00003467374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367664,"about_ca_system_score_gemma":0.0005498346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03683046,"about_ca_topic_score_gemma":0.03162361,"domain_scores_codex":[0.9998073,0.00006166034,0.000009297421,0.00004594209,0.00004752719,0.0000282952],"domain_scores_gemma":[0.9995362,0.0002718197,0.00009900545,0.00002243854,0.00005781357,0.0000128168],"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":[0.0002529919,0.00004311739,0.1648593,0.00008189565,0.0001837588,0.000533958,0.0002565998,0.7885773,0.00286445,0.009147647,0.0004613941,0.03273758],"study_design_scores_gemma":[0.00003290852,0.00006602365,0.1040609,0.00002963405,0.00009597412,0.0001129709,0.0003930576,0.8870758,0.001156326,0.005504617,0.001444773,0.00002700473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808915,0.000186543,0.01559496,0.0001904525,0.000005833275,0.00002353194,0.0004364657,0.00003946571,0.002631181],"genre_scores_gemma":[0.9980764,0.00009733792,0.001447678,0.000007220049,0.000002659463,0.000009405519,0.0001717139,0.000002697053,0.0001848053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03683046,"threshold_uncertainty_score":0.07323217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987263591542469,"score_gpt":0.2432798210539944,"score_spread":0.2234071851385697,"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."}}