{"id":"W1993232367","doi":"10.1016/j.geoderma.2011.05.007","title":"Soil texture mapping over low relief areas using land surface feedback dynamic patterns extracted from MODIS","year":2011,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Soil texture; Digital soil mapping; Soil map; Environmental science; Soil science; Remote sensing; Cluster analysis; Vegetation (pathology); Spatial variability; Texture (cosmology); Hydrology (agriculture); Soil water; Geography; Geology; Mathematics; Computer science; Statistics; Artificial intelligence","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":[0.0001676165,0.0002533797,0.000276249,0.001254977,0.0002143786,0.0004835086,0.0002607467,0.0002169036,0.0006182416],"category_scores_gemma":[0.0004939641,0.0001979568,0.0003065185,0.0011236,0.0001386557,0.0003165133,0.0001897693,0.0001570758,0.0001591821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735639,"about_ca_system_score_gemma":0.0003441495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267654,"about_ca_topic_score_gemma":0.03870701,"domain_scores_codex":[0.999927,0.000006969289,0.000003906827,0.00002391034,0.00001944917,0.00001866584],"domain_scores_gemma":[0.999862,0.00002904934,0.00002237995,0.00001852886,0.00004479773,0.00002316653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001584465,0.0006184431,0.4126452,0.0002137917,0.0003395393,0.0007528167,0.0005587714,0.1191047,0.2340569,0.0007565882,0.003002117,0.2263668],"study_design_scores_gemma":[0.0001525173,0.00006804047,0.522113,0.00001135466,0.0001390998,0.0001375297,0.0002992362,0.4648745,0.01064216,0.0004224115,0.001104129,0.00003592621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941981,0.00004550975,0.004144062,0.00003542164,0.000007001058,0.000009169008,0.0007495312,0.0002503249,0.0005609737],"genre_scores_gemma":[0.9937028,0.00002860003,0.005426907,0.000006762953,0.000005206411,0.000004476831,0.0006392054,0.00002238956,0.0001635711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02267654,"threshold_uncertainty_score":0.04508913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759889849496654,"score_gpt":0.2141369760925607,"score_spread":0.1965380775975941,"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."}}