{"id":"W1577140659","doi":"10.1029/2005wr003977","title":"Spatial distributions of perchloroethylene reactive transport parameters in the Borden Aquifer","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Waterloo; National Science Foundation","keywords":"Correlogram; Variogram; Aquifer; TRACER; Transect; Geostatistics; Spatial distribution; Soil science; Contrast (vision); Aquifer properties; Linear regression; Geology; Range (aeronautics); Spatial correlation; Spatial variability; Mineralogy; Statistics; Mathematics; Kriging; Groundwater; Materials science; Physics; Optics","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":[0.001185081,0.00009139264,0.0001267414,0.00007962649,0.0002131321,0.00002857084,0.0003701375,0.00004548963,0.0002168122],"category_scores_gemma":[0.0000158866,0.00005082167,0.00005372488,0.0002687315,0.0005936144,0.00009895345,0.0001253635,0.0002459518,0.0001122619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064157,"about_ca_system_score_gemma":0.00000367346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03715682,"about_ca_topic_score_gemma":0.006392001,"domain_scores_codex":[0.9980226,0.0003073325,0.0002263289,0.0002372486,0.0007909859,0.0004154889],"domain_scores_gemma":[0.9995655,0.0001224608,0.00001903885,0.0002374404,0.00002812163,0.00002746857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002910247,0.0007698362,0.8465669,0.00003033031,0.00004045788,0.00009208763,0.06277645,0.0007201243,0.07206062,0.0001951754,0.001463527,0.01499347],"study_design_scores_gemma":[0.0003400472,0.0001090956,0.8878353,0.00000939906,0.000007153476,0.00000352033,0.002437763,0.00007755931,0.04070636,0.0005418787,0.06782696,0.0001049956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922822,0.0000215174,0.0005568205,0.001236934,0.00001467442,0.0002636806,0.00001933086,0.000008188384,0.00559666],"genre_scores_gemma":[0.9976878,0.000004886428,0.00003633399,0.00001798547,0.0000260403,0.00008841793,0.00003935258,0.000006648489,0.0020925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06636344,"threshold_uncertainty_score":0.9692549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912719343138417,"score_gpt":0.2873635272757804,"score_spread":0.2582363338443963,"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."}}