{"id":"W2435680987","doi":"","title":"A Geo-statistical Approach to the Change Procedure Study of Under-Ground Water Table in a GIS Framework, Case Study: Razan-Ghahavand Plain, Hamedan Province, Iran","year":2012,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kriging; Estimator; Statistics; Mathematics; Mean squared error; Interpolation (computer graphics); Weighting; Inverse distance weighting; Sampling (signal processing); Multivariate interpolation; Bilinear interpolation; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180629,0.0003132334,0.0002801997,0.002041582,0.0004994727,0.001173831,0.0008792643,0.0005681528,0.001123118],"category_scores_gemma":[0.002197024,0.0001873408,0.0004905134,0.003041279,0.001055609,0.0009091365,0.0007230414,0.0004556533,0.00008820218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688092,"about_ca_system_score_gemma":0.001341716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03228731,"about_ca_topic_score_gemma":0.04547002,"domain_scores_codex":[0.9993995,0.0003188886,0.00002432124,0.00007499374,0.0001341368,0.0000481696],"domain_scores_gemma":[0.9990854,0.0005570601,0.0001090437,0.0000539075,0.0001631474,0.00003133007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001210445,0.0003459812,0.1395362,0.0004637226,0.0001440986,0.007719866,0.004113414,0.5727969,0.006495432,0.08506303,0.003740079,0.1794601],"study_design_scores_gemma":[0.00001223143,0.0001716469,0.04880893,0.00005378401,0.00005783399,0.0006679541,0.007492187,0.9121397,0.002168254,0.01871149,0.009669091,0.00004695435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5733655,0.000818335,0.4052544,0.001489538,0.00005574504,0.0003432442,0.0008247722,0.0003531019,0.01749535],"genre_scores_gemma":[0.9297938,0.0003332086,0.06845875,0.00001712227,0.00001533426,0.0000588867,0.0001649003,0.00001823585,0.001139914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03228731,"threshold_uncertainty_score":0.06419873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07267836577354057,"score_gpt":0.3151811556317229,"score_spread":0.2425027898581824,"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."}}