{"id":"W3203289779","doi":"10.20965/jdr.2021.p1030","title":"Inter-Model Comparison for Tsunami Debris Simulation","year":2021,"lang":"en","type":"article","venue":"Journal of Disaster Research","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Debris; Debris flow; Parametric statistics; Computer simulation; Geology; Simulation modeling; Marine engineering; Computer science; Meteorology; Simulation; Engineering; Statistics; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003182222,0.001170684,0.0009498245,0.001377773,0.000900466,0.001308991,0.001608806,0.001413892,0.006165201],"category_scores_gemma":[0.006358281,0.0003757034,0.001788744,0.0009545984,0.0003877834,0.001434416,0.001451519,0.001708664,0.0009378939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009675969,"about_ca_system_score_gemma":0.001042065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180073,"about_ca_topic_score_gemma":0.008630374,"domain_scores_codex":[0.9984895,0.0004690117,0.0001819663,0.0002489736,0.0004180134,0.0001924539],"domain_scores_gemma":[0.9953531,0.001917654,0.000203919,0.0007931329,0.001583066,0.0001489961],"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":[0.001434876,0.0008983949,0.0158408,0.0006048263,0.0004366124,0.000254133,0.0002279539,0.9233963,0.009257972,0.004734773,0.006310905,0.03660247],"study_design_scores_gemma":[0.0001288851,0.0007184682,0.007830894,0.00005644498,0.000133775,0.0000588511,0.0003289176,0.9742278,0.008225237,0.002223818,0.005988073,0.00007888617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316327,0.001680049,0.123247,0.0008074858,0.0009273715,0.0009180291,0.00828375,0.003671285,0.02883218],"genre_scores_gemma":[0.9528811,0.000341955,0.03736231,0.0001548928,0.00004034421,0.0005627536,0.006092688,0.0005090673,0.002054917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180073,"threshold_uncertainty_score":0.02346408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125546757743271,"score_gpt":0.4269695593606516,"score_spread":0.3014228016173806,"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."}}