{"id":"W2052603996","doi":"10.1520/gtj101058","title":"Interpreting Slug Tests with Large Data Sets","year":2009,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Water Systems and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Graph; Mathematics; Hydraulic conductivity; Algorithm; Data point; Statistics; Linearity; Data mining; Computer science; Soil science; Combinatorics; Geology; Engineering; Soil water","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":[0.0006252332,0.0001453197,0.0001685074,0.00007030776,0.0001458022,0.0001700391,0.0004261267,0.00008509378,0.00001304435],"category_scores_gemma":[0.0004328248,0.000111969,0.00002163474,0.0002445912,0.00001615053,0.0003257015,0.00007592725,0.0005547705,0.00001179819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004425238,"about_ca_system_score_gemma":0.00002163732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001981507,"about_ca_topic_score_gemma":0.000004727668,"domain_scores_codex":[0.9989072,0.00002628044,0.0003309345,0.0001725117,0.0002026749,0.0003603688],"domain_scores_gemma":[0.9992662,0.00008522275,0.00007761177,0.0003722366,0.0000736023,0.0001251168],"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":[0.00002063091,0.00009884382,0.00440725,0.00006019727,0.00005922218,0.0004060986,0.0001918858,0.9068572,0.001793609,0.0001139234,0.02726302,0.05872815],"study_design_scores_gemma":[0.0004339457,0.000192914,0.00518182,0.000727189,0.00002237398,0.002287766,0.00001886146,0.9862516,0.00009152843,0.0002901593,0.004213879,0.0002879642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08432467,0.0004985548,0.9039323,0.0005634077,0.0004457594,0.0002350359,0.00002303654,0.001683724,0.008293556],"genre_scores_gemma":[0.9571004,0.000005996945,0.04251926,0.00008307991,0.0002258595,9.555312e-7,0.0000114673,0.00002496033,0.00002804995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8727757,"threshold_uncertainty_score":0.4565966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320011581602609,"score_gpt":0.2556356899522327,"score_spread":0.2236345317919718,"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."}}