{"id":"W2988963548","doi":"10.3390/agronomy9110750","title":"Soil Physical Properties Spatial Variability under Long-Term No-Tillage Corn","year":2019,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Spatial variability; Environmental science; Tillage; Soil science; Bulk density; Hydraulic conductivity; Conventional tillage; Soil carbon; Soil management; Pedotransfer function; Soil water; Porosity; Surface runoff; Hydrology (agriculture); Agronomy; Geology; Mathematics; Ecology; Geotechnical engineering","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":[0.0002154141,0.0001223705,0.0001819,0.0005668641,0.0001736274,0.0003296115,0.0001637325,0.0001371789,0.000249678],"category_scores_gemma":[0.0005140986,0.00009646241,0.0001514953,0.0007425836,0.0002481243,0.0002900726,0.0002640673,0.0001119648,0.00004351783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152095,"about_ca_system_score_gemma":0.0001821947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01413708,"about_ca_topic_score_gemma":0.02110704,"domain_scores_codex":[0.9998198,0.00001627377,0.00002020206,0.00007970086,0.00003429723,0.00002982123],"domain_scores_gemma":[0.9992344,0.0001292585,0.0003563523,0.00006525156,0.0001562771,0.00005838145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000353236,0.00006324812,0.9541727,0.00003056025,0.0001036535,0.0001977563,0.0002878042,0.002044065,0.03670844,0.00004670911,0.00004713444,0.005944741],"study_design_scores_gemma":[8.872503e-7,0.00001573425,0.9991041,7.449462e-7,0.000005914188,0.0000232153,0.00006913024,0.0003828983,0.0003657269,0.000006490077,0.00002317064,0.000001984885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996928,0.00002822749,0.00008558664,0.000001932138,3.96827e-7,0.000001264709,0.00009940957,0.000002979574,0.00008745373],"genre_scores_gemma":[0.9997433,0.00001148776,0.00004542101,0.000001704972,6.171562e-7,0.000002169928,0.0001587756,7.8367e-7,0.00003582354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413708,"threshold_uncertainty_score":0.02810961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143761244618721,"score_gpt":0.20733206134189,"score_spread":0.1958944488957028,"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."}}