{"id":"W2599646404","doi":"10.1038/srep45027","title":"Gully evolution and geomorphic adjustments of badlands to reforestation","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Université de Genève","keywords":"Reforestation; Landform; Geology; Erosion; Vegetation (pathology); Mediterranean climate; Channel (broadcasting); Denudation; Aggradation; Hydrology (agriculture); Geomorphology; Fluvial; Structural basin; Geography; Archaeology; Paleontology; Forestry; Tectonics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005346097,0.00006202851,0.00009327925,0.00001812548,0.0004900281,0.0001249565,0.0001094331,0.00003723266,0.0001041574],"category_scores_gemma":[0.00006729392,0.0000246016,0.00003224011,0.00009293853,0.000121124,0.0001520998,0.00004048415,0.00002733619,0.000006867063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000133195,"about_ca_system_score_gemma":0.00001051137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003401809,"about_ca_topic_score_gemma":0.0005621618,"domain_scores_codex":[0.9990284,0.00001084851,0.0002179765,0.0003159187,0.0002965134,0.0001302726],"domain_scores_gemma":[0.9994306,0.000009393633,0.0001922744,0.0001699052,0.00009789294,0.00009990958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001854535,0.00005426644,0.5622383,0.000008557759,0.0000042901,0.00002886216,0.000110787,0.000005008992,0.4168736,0.0001997876,0.002035597,0.01842237],"study_design_scores_gemma":[0.00005337258,0.00006973464,0.9876001,0.00002534259,0.000005968841,0.00001261477,0.00005410017,0.00002566245,0.004918208,0.00195599,0.00521492,0.00006398469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973297,0.00002766604,0.000009991983,0.0003902464,0.001238731,0.0001550211,0.000005757016,0.00001709601,0.0008258033],"genre_scores_gemma":[0.9985701,0.000003018089,0.0000563201,0.00002215601,0.00003166,0.0000065441,0.00005974634,4.094306e-7,0.001250069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4253618,"threshold_uncertainty_score":0.376895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987381014775289,"score_gpt":0.2348250480810946,"score_spread":0.2149512379333418,"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."}}