{"id":"W2095013921","doi":"10.1023/b:matg.0000028438.48852.b0","title":"Transformation of Residuals to Avoid Artifacts in Geostatistical Modelling with a Trend","year":2004,"lang":"en","type":"article","venue":"Mathematical Geology","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Residual; Transformation (genetics); Variable (mathematics); Robustness (evolution); Mathematics; Range (aeronautics); Statistics; Econometrics; Applied mathematics; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002180779,0.00009755125,0.0002182968,0.00005996872,0.00002658915,0.000006366221,0.00008691859,0.00005426015,0.0004681578],"category_scores_gemma":[0.00006267588,0.00007827362,0.00001616691,0.0001952559,0.0001455981,0.00005395226,0.00003763329,0.0000876236,0.0002564545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004523179,"about_ca_system_score_gemma":0.00001103768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002590749,"about_ca_topic_score_gemma":0.0005385893,"domain_scores_codex":[0.9990086,0.00002621168,0.0003322842,0.0001721094,0.0001902426,0.0002705416],"domain_scores_gemma":[0.9995707,0.0001565761,0.00004227594,0.0001279622,0.000006126021,0.00009636093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001142338,0.0002968626,0.001330457,0.0001234641,0.00001090271,0.00004248386,0.007960666,0.4979983,0.0007735988,0.4879312,0.00003852585,0.00337935],"study_design_scores_gemma":[0.001631031,0.0006221973,0.0154924,0.0001895435,0.00002781943,0.00005704506,0.0005510256,0.04445787,0.002160915,0.9340664,0.0003897548,0.0003539777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4748774,0.000001729184,0.5146611,0.0004487296,0.000007180984,0.0001452789,0.000004545668,0.000009032129,0.009844972],"genre_scores_gemma":[0.8874085,0.000001548385,0.112389,0.0001172553,0.000003876704,0.00002014341,0.000005184741,0.000007040479,0.00004742661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4535404,"threshold_uncertainty_score":0.5125999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179632807519176,"score_gpt":0.2426824495796999,"score_spread":0.2247191688277823,"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."}}