{"id":"W2949508204","doi":"10.3390/su11123353","title":"Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Environmental science; Erosion; Climate change; Downscaling; Land use; Watershed; Hydrology (agriculture); Land use, land-use change and forestry; Universal Soil Loss Equation; Land cover; Sediment; Land degradation; Baseline (sea); Soil loss; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005269782,0.0001413968,0.0001652697,0.000007801362,0.0002523994,0.00003880809,0.0001537925,0.0000748304,0.0001495224],"category_scores_gemma":[0.00003453548,0.00003371324,0.000126153,0.0001274318,0.00009660431,0.0001500281,0.0001037624,0.0001067314,0.000005836199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117358,"about_ca_system_score_gemma":0.000006970378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009543803,"about_ca_topic_score_gemma":0.001845567,"domain_scores_codex":[0.9989671,0.0001129776,0.0001497146,0.00026831,0.0001901414,0.0003117808],"domain_scores_gemma":[0.9994595,0.0001448199,0.0000484535,0.0001530911,0.0001330565,0.00006105594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004408358,0.0001212443,0.9831551,0.00005113251,0.000007201299,0.000001351323,0.001901572,0.0002668031,0.004204457,0.00003539104,0.00003656287,0.009778382],"study_design_scores_gemma":[0.0002293663,0.0004556499,0.9915161,0.00001600448,0.000011062,8.968502e-7,0.00100097,0.006240538,0.0001952039,0.0001024509,0.0001276685,0.0001040759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993866,0.00006037025,1.87763e-7,0.005029931,0.00004264196,0.0009151504,0.00003681125,0.00002316546,0.00002579827],"genre_scores_gemma":[0.9993961,0.000103716,4.597051e-7,0.0002593176,0.00005834383,0.00004463941,0.00003573445,0.000001264355,0.0001003511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009674306,"threshold_uncertainty_score":0.9970517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642641789235794,"score_gpt":0.2616807880392935,"score_spread":0.2152543701469355,"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."}}