{"id":"W4221027119","doi":"10.5194/egusphere-egu22-1854","title":"A warming-induced rainfall heterogeneity accelerates landscape evolution","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Storm; Environmental science; Erosion; Context (archaeology); Deposition (geology); Drainage basin; Spatial heterogeneity; Climate change; Spatial ecology; Hydrology (agriculture); Surface runoff; Streamflow; Sediment; Climatology; Geology; Geography; Ecology; Meteorology; Geomorphology; Biology","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":[0.0001224211,0.0001841533,0.000162451,0.0002429605,0.0001774295,0.0005077902,0.0001719092,0.000341964,0.002271907],"category_scores_gemma":[0.0003966557,0.0001576003,0.0003787615,0.0002179251,0.0002249897,0.0002302747,0.0002584986,0.000193113,0.0001145148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048312,"about_ca_system_score_gemma":0.0001615477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051498,"about_ca_topic_score_gemma":0.004835916,"domain_scores_codex":[0.9999453,0.00001397355,0.000002663198,0.00001752815,0.000005643667,0.00001496889],"domain_scores_gemma":[0.9998971,0.00003544011,0.00002891164,0.00001391997,0.000009423835,0.00001511189],"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":[0.0002697413,0.000181459,0.1565882,0.0001065949,0.0002598833,0.0008821687,0.0001694345,0.7316827,0.09125104,0.002571502,0.001401396,0.01463579],"study_design_scores_gemma":[0.00008350812,0.00018993,0.342072,0.00001150664,0.00008234748,0.0001941422,0.0001126246,0.6491104,0.00498012,0.001686292,0.001447052,0.00003015092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965358,0.00003887779,0.001877684,0.00005798262,0.000006450949,0.000005850131,0.0001380143,0.0001024661,0.001236852],"genre_scores_gemma":[0.9995715,0.00002153855,0.0002209569,0.000007820352,0.000002068404,0.000003082239,0.00005400301,0.000007550123,0.0001113995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005051498,"threshold_uncertainty_score":0.01004416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05421553349247787,"score_gpt":0.2600083674421301,"score_spread":0.2057928339496523,"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."}}