{"id":"W3128228131","doi":"10.1016/j.catena.2021.105184","title":"Responses of soil erosion to warming and wetting in a cold Canadian agricultural catchment","year":2021,"lang":"en","type":"article","venue":"CATENA","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Environmental science; Surface runoff; Erosion; Snowmelt; Hydrology (agriculture); Climate change; Precipitation; WEPP; Universal Soil Loss Equation; Sediment; Drainage basin; Agriculture; Soil conservation; Geology; Soil loss; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003374712,0.000249833,0.0005489722,0.0008423068,0.003281295,0.001748291,0.001015976,0.0006332808,0.002056136],"category_scores_gemma":[0.001183889,0.000322254,0.0003768866,0.002068112,0.00154452,0.0003169209,0.0009357334,0.0006136941,0.0001647167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02443909,"about_ca_system_score_gemma":0.01258616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908715,"about_ca_topic_score_gemma":0.996503,"domain_scores_codex":[0.9996119,0.00003332537,0.00001301994,0.00007886583,0.00007140946,0.000191613],"domain_scores_gemma":[0.9993228,0.00009851533,0.00007976364,0.00002269596,0.0002544754,0.0002217126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001062051,0.0002596147,0.9636758,0.00007261369,0.0001623228,0.0008763904,0.004658323,0.004549762,0.01214349,0.0005484201,0.001289316,0.01070188],"study_design_scores_gemma":[0.00001083094,0.00001400993,0.9972017,0.000003335697,0.00001186969,0.00002198652,0.001360504,0.0007927439,0.00009543408,0.00002399431,0.0004531578,0.0000103614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990981,0.00003054402,0.00002161405,0.00005530644,0.00000130342,0.000006932792,0.000155531,0.000004112643,0.0006266458],"genre_scores_gemma":[0.9990164,0.00003778824,0.00005601045,0.00002541196,0.000001455065,0.000006929912,0.000166603,0.000003048122,0.0006864262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443909,"threshold_uncertainty_score":0.1773188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069933257175621,"score_gpt":0.2158495533315123,"score_spread":0.1951502207597561,"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."}}