{"id":"W2754165816","doi":"10.1002/2017jc013078","title":"The 2004 Sumatra tsunami in the Southeastern Pacific Ocean: New Global Insight from Observations and Modeling","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"North Pacific Marine Science Organization","funders":"National Oceanic and Atmospheric Administration; Russell Sage Foundation","keywords":"Geology; Tide gauge; Pacific ocean; Seismology; Oceanography; Tsunami earthquake; Climatology; Sea level","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":[0.0001952006,0.0005275493,0.0002429586,0.0004448468,0.0002303185,0.0008967833,0.0004284461,0.0004216535,0.0007082745],"category_scores_gemma":[0.0004820962,0.0003016528,0.0005036626,0.0008609942,0.0002854654,0.0006524866,0.0005125995,0.0003781192,0.00009049519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009493288,"about_ca_system_score_gemma":0.0005297554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0797945,"about_ca_topic_score_gemma":0.05127535,"domain_scores_codex":[0.9999449,0.00001248606,0.000004413102,0.00001969372,0.00001036196,0.000008067625],"domain_scores_gemma":[0.9998673,0.00003945982,0.00004003057,0.00001936991,0.00002084004,0.0000128882],"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":[0.00009966954,0.0002213251,0.3857931,0.0001272137,0.0003048271,0.0006417093,0.0004000599,0.5797794,0.00398516,0.001419095,0.001500672,0.02572773],"study_design_scores_gemma":[0.00003259109,0.00003822076,0.1870662,0.00003055299,0.0001014213,0.00004881195,0.000383208,0.8094671,0.0005112477,0.0008557437,0.0014331,0.00003174716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963379,0.0001974411,0.001234012,0.0002129538,0.000008943296,0.000009422854,0.0005165731,0.00005458147,0.001428233],"genre_scores_gemma":[0.9978078,0.0003022137,0.001128367,0.00001633138,0.00001189045,0.0000111564,0.0004349822,0.00001250297,0.0002747172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0797945,"threshold_uncertainty_score":0.1586601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217856249241211,"score_gpt":0.3307937342458439,"score_spread":0.2090081093217229,"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."}}