{"id":"W4405080086","doi":"10.1038/s41598-024-81893-y","title":"Interpolation methods for spatial distribution of groundwater mapping electrical conductivity","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Variogram; Kriging; Interpolation (computer graphics); Multivariate interpolation; Geostatistics; Range (aeronautics); Inverse distance weighting; Mathematics; Spatial analysis; Spatial variability; Algorithm; Computer science; Statistics; Bilinear interpolation; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002121248,0.00009746701,0.0001544684,0.00008368513,0.0001498981,0.0002203262,0.0000801604,0.00005022502,0.0003207192],"category_scores_gemma":[0.00007667744,0.00007545541,0.0001620575,0.0005120483,0.0002108355,0.0003585764,0.00007877698,0.0000665167,0.0000212321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431465,"about_ca_system_score_gemma":0.0000161709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005139164,"about_ca_topic_score_gemma":0.00003197796,"domain_scores_codex":[0.9985134,0.00008087017,0.0003809595,0.000562422,0.0002361185,0.0002262065],"domain_scores_gemma":[0.999497,0.00005310082,0.00009214212,0.0002783329,0.0000248596,0.00005457685],"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":[0.00001349394,0.0001022379,0.0192401,0.00006101417,0.00006142983,0.00002330245,0.0009424397,0.0001293923,0.8333977,0.0001536528,0.005397913,0.1404773],"study_design_scores_gemma":[0.0001785565,0.000164036,0.02540725,0.00007526226,0.0002265502,0.0001984861,0.000113229,0.3002054,0.385729,0.1083667,0.1787822,0.0005532873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3576104,0.00002566574,0.6400546,0.00006415221,0.001873496,0.0001528267,0.000002127556,0.000034395,0.0001823214],"genre_scores_gemma":[0.9915274,4.794588e-7,0.006946556,0.000004380207,0.00004204481,0.00002165177,0.0001876781,0.000007634922,0.001262219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6339169,"threshold_uncertainty_score":0.3511651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097111781537592,"score_gpt":0.298859862464035,"score_spread":0.2778887446486591,"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."}}