{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001831106,0.00006684275,0.0001040369,0.000007380814,0.00007155104,0.00001133805,0.00011998,0.00002855891,0.005493975],"category_scores_gemma":[0.000006389536,0.0000407193,0.0000460759,0.00007487128,0.0001190493,0.0001529301,0.00007388004,0.0000242718,0.0001665963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003272762,"about_ca_system_score_gemma":0.000001091739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005160898,"about_ca_topic_score_gemma":0.001024074,"domain_scores_codex":[0.9993637,0.00002601324,0.0001906895,0.0001646152,0.0001217504,0.0001332213],"domain_scores_gemma":[0.999778,0.00005056529,0.00008067695,0.00006108901,0.000002105406,0.00002753849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007785237,0.0001184569,0.1913718,0.000003757634,0.000001716595,2.908307e-8,0.00005190564,0.0009927195,0.7617973,0.0001602667,0.01512111,0.03037312],"study_design_scores_gemma":[0.0002286742,0.0001948507,0.2136479,0.000005501249,0.00001296815,8.563965e-7,0.0001908393,0.05632953,0.6833627,0.001620259,0.04421094,0.0001950017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7107994,0.00007581001,0.1470064,0.0003281678,0.0002059992,0.0003604377,0.000005974847,0.00003874616,0.1411791],"genre_scores_gemma":[0.9155715,0.000001480736,0.07682627,0.00003062547,0.00003173593,0.00001013569,0.00001045447,0.000002113568,0.007515685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2047721,"threshold_uncertainty_score":0.9954152,"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."}}