{"id":"W2115563030","doi":"10.1109/lgrs.2010.2066545","title":"Numerical Simulations of Borehole Radar Detection for Metal Ore","year":2010,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Borehole; Overburden; Ground-penetrating radar; Azimuth; Radar; Drilling; Geophysics; Mining engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003345359,0.0004687952,0.0005128488,0.0004013303,0.0005457961,0.0005115882,0.0008306935,0.001403766,0.002358873],"category_scores_gemma":[0.001701063,0.0002813291,0.0004820709,0.0004240692,0.0007581023,0.0004653816,0.0004899547,0.0005559929,0.0001321174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007101559,"about_ca_system_score_gemma":0.0007088042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735568,"about_ca_topic_score_gemma":0.008059769,"domain_scores_codex":[0.9998399,0.00003989981,0.000008183807,0.00002244144,0.0000433243,0.00004629947],"domain_scores_gemma":[0.9988425,0.0007286256,0.0001129242,0.00004692054,0.0001728137,0.00009624461],"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":[0.00007375662,0.00004884009,0.002447491,0.00002422473,0.00001067454,0.00009210595,0.00004721274,0.9933988,0.001522518,0.001255784,0.0001491595,0.0009295428],"study_design_scores_gemma":[0.00001237042,0.00001499034,0.0002631529,0.000002447905,0.000002152485,0.000007433735,0.00001895416,0.9991721,0.0002624138,0.0001514724,0.00008887217,0.000003662589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310026,0.0002091785,0.05307084,0.0004751136,0.00007898783,0.00007149048,0.0006052647,0.0003302806,0.01415616],"genre_scores_gemma":[0.9887043,0.00004833351,0.009832804,0.0000458112,0.000005476478,0.00004783856,0.0002230177,0.00002181273,0.001070705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735568,"threshold_uncertainty_score":0.0345093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138018811178692,"score_gpt":0.2486429157058901,"score_spread":0.2372627275941031,"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."}}