{"id":"W4390022677","doi":"10.1007/s11069-023-06333-y","title":"Prediction of impulse waves generated by the Wangjiashan landslide using a hybrid SPH-SWEs model","year":2023,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Landslide; Natural hazard; Impulse (physics); Hydrogeology; Geology; Seismology; Geotechnical engineering; Physics; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918495,0.0001652866,0.0001727751,0.00004568214,0.0002244067,0.0000347524,0.000253725,0.0001053985,0.0001514081],"category_scores_gemma":[0.00003100042,0.00009455058,0.0001082997,0.0004834638,0.000151088,0.0001899361,0.0001962702,0.0002798722,0.00006091476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039972,"about_ca_system_score_gemma":0.00002590122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004854484,"about_ca_topic_score_gemma":0.00003719664,"domain_scores_codex":[0.9986473,0.00003996258,0.0002555946,0.0002693087,0.0004560723,0.0003317533],"domain_scores_gemma":[0.9995503,0.00002778317,0.00009806595,0.0002432259,0.00002091702,0.0000596914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001863945,0.0001014064,0.00938672,0.00003754415,0.0001646256,0.00003983174,0.001051797,0.2218572,0.5371283,0.00007976202,0.1711384,0.05882805],"study_design_scores_gemma":[0.0003961968,0.00003520268,0.002846413,0.00001794571,0.00004461843,0.0000296836,0.00007121306,0.9704353,0.02294762,0.0003461597,0.002687795,0.0001418164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973429,0.00023312,0.0002221021,0.0002977707,0.0003680406,0.0001715164,0.0002637041,0.0001217262,0.0009790971],"genre_scores_gemma":[0.9975129,0.0001144881,0.0003025389,0.0001404598,0.00009709202,0.000005665267,0.0001692051,0.00002229288,0.001635401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7485781,"threshold_uncertainty_score":0.3855661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667507032547905,"score_gpt":0.2358846764199366,"score_spread":0.2192096060944576,"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."}}