{"id":"W2023231597","doi":"10.3997/1873-0604.2012038","title":"Spectral velocity analysis for the determination of ground‐wave velocities and their uncertainties in multi‐offset GPR data","year":2012,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Geology; Economic geology; Offset (computer science); Hyperbola; Petrophysics; Remote sensing; Waveform; Regional geology; Range (aeronautics); Hydrogeology; Geodesy; Radar; Geometry; Mathematics; Geotechnical engineering; Computer science; Porosity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002538547,0.000121073,0.0002174435,0.00002018408,0.0000866939,0.00003232174,0.0001624823,0.00004405928,0.000003079138],"category_scores_gemma":[0.0000374904,0.00009161891,0.0000560347,0.0004507788,0.000105249,0.0001954775,0.00006774769,0.0001021952,0.000001749244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000202854,"about_ca_system_score_gemma":0.00001055426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003373642,"about_ca_topic_score_gemma":0.0001057411,"domain_scores_codex":[0.9993908,0.00003012706,0.0001614732,0.0001318697,0.00007623454,0.0002095285],"domain_scores_gemma":[0.9989902,0.0004958524,0.00004466109,0.0003855122,0.00005096319,0.00003277039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000106832,0.001144793,0.06843132,0.001348435,0.002548857,8.684664e-7,0.04904007,0.1067556,0.07699776,0.03114267,0.0003704666,0.6621123],"study_design_scores_gemma":[0.0001234562,0.000008076258,0.2796522,0.000005238771,0.00009552215,1.311693e-7,0.0007412761,0.7161912,0.0009149323,0.001814676,0.000340222,0.0001130376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941377,0.0003425213,0.1049183,0.00004766285,0.00006589627,0.0002071931,0.0002358085,0.00002776145,0.00001712498],"genre_scores_gemma":[0.9545929,0.00007207785,0.04514948,0.000008451105,0.00005181997,0.00001953485,0.0000760217,0.00001366134,0.00001606018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6619992,"threshold_uncertainty_score":0.3736111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396035625424127,"score_gpt":0.2939950649939923,"score_spread":0.220034708739751,"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."}}