{"id":"W2052761246","doi":"10.1016/j.jappgeo.2003.06.012","title":"Use of borehole radar techniques to characterize fractured granitic bedrock at AECL's Underground Research Laboratory","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada)","funders":"Atomic Energy of Canada Limited","keywords":"Borehole; Geology; Reflection (computer programming); Radar; Seismology; Bedrock; Ground-penetrating radar; Fracture (geology); Block (permutation group theory); Mineralogy; Geotechnical engineering; Geomorphology; Geometry; Engineering","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":[0.0004539016,0.0001850503,0.0004076569,0.0001610988,0.0001092786,0.00005111794,0.0002351499,0.0001133711,0.00001727378],"category_scores_gemma":[0.00007436032,0.000172535,0.0001107766,0.000745151,0.00007139982,0.0001692824,0.00004567877,0.0005823094,0.00003004115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367122,"about_ca_system_score_gemma":0.00006341869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006302043,"about_ca_topic_score_gemma":0.000001990734,"domain_scores_codex":[0.9984765,0.00007347943,0.0004817804,0.0001523738,0.0004923136,0.0003235538],"domain_scores_gemma":[0.9984834,0.0003630178,0.0001663791,0.0003601183,0.0004329389,0.0001942151],"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":[0.0000407462,0.000141978,0.000009807451,0.00006860279,0.00006162793,0.000004481919,0.0003115819,0.0001776298,0.9744717,0.01931508,0.001259652,0.004137071],"study_design_scores_gemma":[0.000352271,0.000235311,0.006889974,0.00008892496,0.00006295762,0.000006441318,0.0001339272,0.00002992863,0.6692827,0.04592817,0.2766223,0.0003671197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900739,0.00006054903,0.007711222,0.0001367623,0.0001184682,0.0003789865,0.00005191981,0.00005898373,0.001409271],"genre_scores_gemma":[0.955071,0.00006007035,0.04438099,0.0001247378,0.000234353,0.00003096081,0.000004548552,0.00005409502,0.00003929207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3051891,"threshold_uncertainty_score":0.7035775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05061692300990936,"score_gpt":0.2974485954577551,"score_spread":0.2468316724478458,"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."}}