{"id":"W2150220544","doi":"10.1061/9780784412329.088","title":"Application Potential of Ultra-Wide Band Radar for Detecting Buried Obstructions in Construction","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Flooding (psychology); Engineering; Pipeline transport; Urbanization; Civil engineering; Construction engineering; Risk analysis (engineering); Telecommunications","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":[0.0008396805,0.0001603469,0.0002638955,0.0003742965,0.000235035,0.00003616887,0.0001661424,0.0001648495,0.00006113104],"category_scores_gemma":[0.0003069175,0.0001757769,0.00009336429,0.0007267739,0.0004928706,0.0004803364,0.00002114782,0.0004064229,0.0000163004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078825,"about_ca_system_score_gemma":0.00003964969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004956115,"about_ca_topic_score_gemma":0.00001105972,"domain_scores_codex":[0.998238,0.0001398058,0.0004729435,0.0002436766,0.0003205843,0.0005849866],"domain_scores_gemma":[0.9984371,0.0005703822,0.0001007601,0.0003399375,0.0003740337,0.0001777897],"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":[0.00006942399,0.0001214317,0.009681832,0.0003249136,0.00007923102,2.983811e-7,0.0001683088,0.001022211,0.6223292,0.03116829,0.000384179,0.3346507],"study_design_scores_gemma":[0.00432278,0.0001877529,0.07626263,0.0002444905,0.0001516576,0.0001675673,0.005331794,0.0138968,0.7991001,0.04886769,0.05018333,0.001283413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7013261,0.0004806639,0.2922131,0.0001672596,0.001823738,0.001595479,0.00009244167,0.0001996592,0.002101577],"genre_scores_gemma":[0.9542873,0.000055306,0.04458898,0.000002503935,0.0004425383,0.0005343692,0.00002193462,0.00003265867,0.00003442314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3333673,"threshold_uncertainty_score":0.7167974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211838441642657,"score_gpt":0.3319123283537727,"score_spread":0.2997939439373462,"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."}}