{"id":"W2377575696","doi":"","title":"Comparison of Spatial Interpolation Methods for Soil Available Kalium","year":2006,"lang":"en","type":"article","venue":"","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Soil nutrients; Interpolation (computer graphics); Multivariate interpolation; Sampling (signal processing); Spline (mechanical); Environmental science; Soil science; Nutrient; Hydrology (agriculture); Mathematics; Statistics; Computer science; Soil water; Geology; Bilinear interpolation; Chemistry","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":[0.002996633,0.0003839861,0.0004098602,0.001876311,0.0003569509,0.0006286228,0.0006415848,0.0002883966,0.001214792],"category_scores_gemma":[0.009517724,0.0002454027,0.0009295909,0.001609599,0.0002194144,0.0009405427,0.0006719852,0.0004030656,0.0003617571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004437334,"about_ca_system_score_gemma":0.0009091682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120498,"about_ca_topic_score_gemma":0.008755285,"domain_scores_codex":[0.9986618,0.0005414754,0.0001015136,0.0001683543,0.0004414135,0.0000854119],"domain_scores_gemma":[0.9964915,0.001583138,0.0001849135,0.0003404586,0.001335004,0.00006491192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001453086,0.000127787,0.05330729,0.0004931228,0.0003860586,0.0001014943,0.0007397202,0.1912837,0.006273501,0.009507542,0.001710743,0.734616],"study_design_scores_gemma":[0.00006356274,0.0001320373,0.02546064,0.00004944656,0.00008398607,0.0001191817,0.0004081342,0.9603594,0.007403628,0.002406737,0.003447742,0.0000654426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3436706,0.001078513,0.6482701,0.0002200263,0.0001350682,0.0000914945,0.0005386403,0.001840818,0.004154808],"genre_scores_gemma":[0.7891797,0.0006958567,0.2071823,0.00002552745,0.00002988098,0.0001109442,0.0009491245,0.0001932335,0.001633463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01120498,"threshold_uncertainty_score":0.02227956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092152442054524,"score_gpt":0.3119537231092837,"score_spread":0.2910321986887385,"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."}}