{"id":"W4403033012","doi":"10.1007/s00477-024-02828-7","title":"Evaluation of the significance of spatial trends for geostatistical simulation","year":2024,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Petrobras","keywords":"Computational intelligence; Geostatistics; Computer science; Statistics; Econometrics; Mathematics; Spatial variability; 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":[0.02399424,0.0005684512,0.0007469342,0.001494528,0.0006508314,0.001388948,0.001104508,0.001151887,0.002527716],"category_scores_gemma":[0.1659381,0.0003455698,0.001048161,0.001491555,0.0008807536,0.00207427,0.001012629,0.001514967,0.0001653755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008498779,"about_ca_system_score_gemma":0.002040584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006371985,"about_ca_topic_score_gemma":0.004309835,"domain_scores_codex":[0.9911045,0.006464017,0.0004066103,0.0006345288,0.001100315,0.0002899724],"domain_scores_gemma":[0.7313491,0.2508362,0.003128873,0.006392141,0.007245256,0.001048442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00332483,0.0004842075,0.1259637,0.0003068546,0.0007420997,0.0003329802,0.0002957954,0.7648268,0.003073985,0.01924003,0.001893462,0.07951522],"study_design_scores_gemma":[0.00004713959,0.00034754,0.004667832,0.0000145846,0.00008934276,0.0000463319,0.00007285681,0.9898393,0.001272352,0.003310306,0.0002838522,0.000008515561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489378,0.0006560811,0.2432799,0.0009665963,0.0001382452,0.0001769051,0.0008210941,0.001110645,0.003912668],"genre_scores_gemma":[0.9653255,0.0001274229,0.03342174,0.0000471069,0.00003287036,0.00005200829,0.0004204486,0.0001379881,0.0004348322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02399424,"threshold_uncertainty_score":0.1268952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359059220633051,"score_gpt":0.401971069618464,"score_spread":0.3483804774121335,"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."}}