{"id":"W2551325900","doi":"10.1016/j.catena.2016.10.017","title":"Exploring the spatial variability of soil properties in an Alfisol soil catena","year":2016,"lang":"en","type":"article","venue":"CATENA","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"University of Peradeniya; National Research Council Sri Lanka","keywords":"Alfisol; Cation-exchange capacity; Soil science; Topsoil; Soil carbon; Spatial variability; Environmental science; Variogram; Soil pH; Kriging; Soil map; Geostatistics; Soil test; Soil texture; Spatial heterogeneity; Soil survey; Digital soil mapping; Soil water; Mathematics; Ecology","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":[0.0002686288,0.000165847,0.0001236537,0.0006794115,0.0003300143,0.0004301112,0.0002593931,0.0001952412,0.0003021072],"category_scores_gemma":[0.0004737147,0.00009755852,0.0001567835,0.0007777602,0.000150907,0.0001646016,0.0002082483,0.0001266476,0.00005423167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798786,"about_ca_system_score_gemma":0.0004645202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05776118,"about_ca_topic_score_gemma":0.1110473,"domain_scores_codex":[0.9999211,0.00001264938,0.000004610558,0.00002703147,0.00001933288,0.0000152794],"domain_scores_gemma":[0.9997397,0.00007261014,0.00003745067,0.00002732635,0.00009516238,0.00002785496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007342136,0.0003796909,0.8074287,0.00007879411,0.0001284625,0.000766656,0.001045872,0.03394387,0.1010158,0.0007136685,0.0005715698,0.05319276],"study_design_scores_gemma":[0.00003092032,0.0001661704,0.8944532,0.00001183961,0.00005969791,0.0001616061,0.001227019,0.09333017,0.008536294,0.0002338316,0.001763301,0.00002591079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993907,0.00001270439,0.0002145904,0.000008236453,5.420234e-7,0.000001998149,0.00007406731,0.00001241546,0.0002846681],"genre_scores_gemma":[0.9992016,0.00001358789,0.0004257236,0.000002665216,6.140978e-7,0.00000244531,0.0001623823,0.00000175781,0.0001892206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05776118,"threshold_uncertainty_score":0.11485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06721147568495585,"score_gpt":0.2181943426913136,"score_spread":0.1509828670063578,"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."}}