{"id":"W2924186078","doi":"10.1002/nag.2912","title":"A depth average SPH model including <b><i>μ</i></b>(<i>I</i>) rheology and crushing for rock avalanches","year":2019,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Rheology; Fractal; Smoothed-particle hydrodynamics; Geology; Geotechnical engineering; Mechanics; Fragmentation (computing); Law; Statistical physics; Physics; Mathematics; Thermodynamics; Computer science; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038157,0.0001513784,0.0002973343,0.00008346453,0.000112947,0.00009022866,0.0002310505,0.0001486741,0.0001322938],"category_scores_gemma":[0.0003778963,0.0001130104,0.0001219365,0.00009417086,0.00002828134,0.0001863726,0.0002854037,0.0003431312,0.00000664112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082465,"about_ca_system_score_gemma":0.00001508702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128111,"about_ca_topic_score_gemma":0.000003655913,"domain_scores_codex":[0.9986997,0.00006411023,0.0003777937,0.0003131272,0.0002309796,0.0003142502],"domain_scores_gemma":[0.9990363,0.0005725225,0.0001176441,0.00006975139,0.00003655886,0.0001672482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001884627,0.0004663524,0.02914077,0.00008065136,0.0005836503,0.00006891451,0.001237185,0.3460032,0.0141939,0.1131032,0.0009720153,0.4922656],"study_design_scores_gemma":[0.0009024661,0.0001390423,0.0001892036,0.00003042059,0.00002511476,0.0001098863,0.0000404436,0.8950299,0.0001488921,0.09858418,0.004647854,0.000152617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04043578,0.0001313574,0.9572193,0.001080844,0.0005445151,0.0001767207,0.00001062267,0.0000110634,0.0003897696],"genre_scores_gemma":[0.7152691,0.0003570708,0.2824221,0.0008090665,0.0001278521,0.00001405692,0.000004288225,0.00002284304,0.0009735631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6748334,"threshold_uncertainty_score":0.4608431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341945662218621,"score_gpt":0.3660510861660694,"score_spread":0.3318565199442072,"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."}}