{"id":"W2894866057","doi":"10.5539/jas.v10n10p132","title":"Soil and Water Loss Rates in Oxisols Under No-tillage System in Western Paraná, Brazil","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxisol; Soil water; Environmental science; Tillage; Conventional tillage; Soil science; Water content; Agronomy; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008025233,0.000138913,0.0002258799,0.00004903848,0.000177234,0.0002537596,0.0004552496,0.00005880309,0.00004736256],"category_scores_gemma":[0.00003269969,0.00003680824,0.00005066506,0.000670699,0.0003279132,0.0007708866,0.0001416834,0.0001430459,0.00005152025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000076501,"about_ca_system_score_gemma":0.000008511586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002383454,"about_ca_topic_score_gemma":0.002252067,"domain_scores_codex":[0.998497,0.00004951298,0.0003942882,0.000232654,0.0004122266,0.0004142919],"domain_scores_gemma":[0.9994199,0.00006224611,0.0001479458,0.00003753636,0.0002116645,0.000120763],"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":[0.00006504542,0.00008156579,0.3020163,0.00002045949,0.000007396742,0.00005033847,0.0005593065,0.00003683746,0.6923847,0.000172793,0.0003489988,0.00425626],"study_design_scores_gemma":[0.0002415094,0.0002936151,0.9852729,0.0001232899,0.000004551342,0.00006947195,0.001610366,0.00002118735,0.01163989,0.000066571,0.0005143103,0.0001423562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966268,0.00007596353,5.669274e-7,0.001712263,0.0002815936,0.0001026826,7.77069e-7,0.00001081658,0.001188545],"genre_scores_gemma":[0.9990612,0.00004417137,0.00001581384,0.0001802987,0.0003580998,0.000001827435,7.483505e-7,5.101026e-7,0.0003372857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6832566,"threshold_uncertainty_score":0.244701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467921835864153,"score_gpt":0.2334753553612264,"score_spread":0.2187961370025849,"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."}}