{"id":"W2902490973","doi":"10.1139/cgj-2017-0630","title":"Runout evaluation of Oso landslide with the material point method","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Washington State Department of Transportation; U.S. Department of Transportation","keywords":"Landslide; Geology; Landslide mitigation; Geotechnical engineering; Landslide classification; Mining engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006176844,0.0006544468,0.0005280006,0.0009000422,0.0005145646,0.000851553,0.0006895885,0.001087594,0.002065719],"category_scores_gemma":[0.001275567,0.0002326928,0.0004626036,0.0004727559,0.0004514466,0.0004626754,0.0005189258,0.0004903164,0.0002175432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363766,"about_ca_system_score_gemma":0.0007033237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009745745,"about_ca_topic_score_gemma":0.009401014,"domain_scores_codex":[0.9998106,0.00005206872,0.00001244768,0.00002291663,0.00007040169,0.00003157875],"domain_scores_gemma":[0.9995415,0.0001969219,0.00005720238,0.00003373331,0.0001362696,0.00003439431],"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":[0.0001672777,0.0001250367,0.008566805,0.00005926346,0.00002061832,0.0002850436,0.00009746064,0.9671789,0.00680406,0.001683513,0.0004422669,0.01456969],"study_design_scores_gemma":[0.000006756982,0.00006326455,0.001044349,0.000005900276,0.000003909127,0.00001875685,0.00004096592,0.9971486,0.001283541,0.0001360673,0.000240989,0.000006996035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178048,0.0002526967,0.06802778,0.0001601808,0.0000889051,0.0001539903,0.0003740722,0.0004790715,0.01265853],"genre_scores_gemma":[0.9842166,0.00008286723,0.01441723,0.00001151756,0.000005085285,0.0000443941,0.0001215511,0.00002827278,0.001072446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9902543,"threshold_uncertainty_score":0.01937807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306883279157094,"score_gpt":0.2642758127426447,"score_spread":0.2512069799510737,"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."}}