{"id":"W3022916852","doi":"10.1029/2020gl087505","title":"Decreasing Landslide Erosion on Steeper Slopes in Soil‐Mantled Landscapes","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"ETH Zürich Foundation; Uniscientia Stiftung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Landslide; Geology; Cohesion (chemistry); Erosion; Soil water; Geomorphology; Landslide mitigation; Creep; Geotechnical engineering; Landslide classification; Soil science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003446704,0.000144284,0.0001916491,0.00005908973,0.0001678503,0.000079776,0.0003121466,0.00007785264,0.0005833532],"category_scores_gemma":[0.0001845818,0.0001013663,0.00007583664,0.0005512563,0.0001393405,0.0001460723,0.0002995919,0.0007250894,0.002644594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142676,"about_ca_system_score_gemma":0.00001253422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007076142,"about_ca_topic_score_gemma":0.0001057354,"domain_scores_codex":[0.9975884,0.0002233613,0.0001719792,0.0004577645,0.0009090612,0.0006494573],"domain_scores_gemma":[0.99921,0.0002759813,0.00002371004,0.0001922219,0.000008422947,0.0002896472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00175142,0.0006241955,0.08892727,0.00006335205,0.00004972136,0.0008261864,0.003736208,0.01035393,0.7933934,0.0004827517,0.05766347,0.04212811],"study_design_scores_gemma":[0.008280997,0.002199499,0.759475,0.0005931837,0.00003878444,0.00001339662,0.0008839743,0.03269113,0.04344381,0.001975787,0.148557,0.001847442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779925,0.00001263621,0.00005087268,0.01780363,0.00003940098,0.0001904965,0.000003092716,0.00003776685,0.003869607],"genre_scores_gemma":[0.9963841,0.00003637693,0.0001586728,0.003066114,0.0001873409,0.00001593173,0.000009181557,0.00002056154,0.0001216985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7499496,"threshold_uncertainty_score":0.998132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695166815352022,"score_gpt":0.281439914382408,"score_spread":0.2544882462288878,"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."}}