{"id":"W4390112397","doi":"10.1007/s10346-023-02178-5","title":"Possible remediation of impact-loading debris avalanches via fine long rooted grass: an experimental and material point method (MPM) analysis","year":2023,"lang":"en","type":"article","venue":"Landslides","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Deltares; Università degli Studi di Salerno","keywords":"Landslide; Geotechnical engineering; Debris; Soil water; Geology; Water content; Debris flow; Suction; Outcrop; Bedrock; Soil science; Environmental science; Geomorphology; Engineering","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":[0.0003588645,0.0002708975,0.0002254583,0.0003645755,0.0002036131,0.0002248188,0.0003092056,0.0002716923,0.0008512886],"category_scores_gemma":[0.0002591674,0.0000931113,0.0002587565,0.0002389079,0.0002322072,0.0001739348,0.0001528016,0.0002204543,0.00009979642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186468,"about_ca_system_score_gemma":0.0002048228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548622,"about_ca_topic_score_gemma":0.002460046,"domain_scores_codex":[0.9998829,0.00001429194,0.000006050352,0.0000285916,0.00005078387,0.00001725662],"domain_scores_gemma":[0.999856,0.00002581693,0.0000251649,0.00002052435,0.00005756305,0.00001486961],"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":[0.0002999733,0.000347293,0.01003521,0.0002396118,0.00002626505,0.0001381796,0.00007401557,0.004625346,0.9615387,0.000226343,0.0001149468,0.02233413],"study_design_scores_gemma":[0.00005086388,0.00416117,0.09392101,0.00002516437,0.0001271285,0.0001645218,0.0004478908,0.08764721,0.8106629,0.0004959583,0.002244972,0.00005108891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932216,0.0001093118,0.006058881,0.00001370076,0.00001252772,0.00003571558,0.00009185578,0.00003899632,0.0004173372],"genre_scores_gemma":[0.9875948,0.0001002401,0.01165074,0.000008384624,0.000003398003,0.0000328551,0.00005975954,0.000007175717,0.0005424966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548622,"threshold_uncertainty_score":0.003079295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054648005519589,"score_gpt":0.2807168479424165,"score_spread":0.2701703678872207,"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."}}