{"id":"W2028419409","doi":"10.1117/12.462257","title":"&lt;title&gt;New pseudo-3D GPR data method for hydraulic conductivity estimation over an unconfined aquifer&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hydraulic conductivity; Ground-penetrating radar; Aquifer; Hydrogeology; Geology; Grid; Soil science; Reflection (computer programming); Spatial variability; Sampling (signal processing); Remote sensing; Geotechnical engineering; Groundwater; Computer science; Geodesy; Radar; Statistics; Computer vision; Mathematics","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":[0.0003281866,0.0002082174,0.0002671312,0.00005178045,0.00004937102,0.00006806207,0.0006356559,0.0001366293,0.0001545346],"category_scores_gemma":[0.0002966786,0.000187059,0.000208088,0.0002053093,0.00006337592,0.0003785215,0.00008474774,0.0001734922,0.00001908444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006354926,"about_ca_system_score_gemma":0.00001315268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000473717,"about_ca_topic_score_gemma":1.336055e-7,"domain_scores_codex":[0.9988443,3.094814e-8,0.0003331639,0.0002957468,0.0002890716,0.0002376868],"domain_scores_gemma":[0.9992085,0.0001360551,0.0001135772,0.0001137778,0.0003198513,0.0001082003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001090748,0.00009198207,0.000004486271,0.0002800637,0.0002219251,2.843046e-8,0.00006614975,0.0005171709,0.439617,0.4847637,0.05976168,0.01466484],"study_design_scores_gemma":[0.0004389491,0.00008531373,0.0001428597,0.00006476295,0.0001255229,0.000004364053,0.00003426433,0.9010493,0.01183061,0.005714576,0.08023096,0.0002785079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9310502,0.0002266929,0.0282656,0.002238182,0.0006711117,0.001153808,0.0003178003,0.000428964,0.03564762],"genre_scores_gemma":[0.05254927,0.00006355569,0.9451565,0.00008486206,0.0007674527,0.0001270334,0.0000493376,0.00008565621,0.0011164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9168909,"threshold_uncertainty_score":0.7628044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224963535792711,"score_gpt":0.2818990345752433,"score_spread":0.2496493992173162,"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."}}