{"id":"W2031802166","doi":"10.1117/12.383624","title":"&lt;title&gt;Application of self-correcting tomographic inversion to a borehole radar test survey&lt;/title&gt;","year":2000,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transmitter; Attenuation; Tomography; Geology; Radar; Inversion (geology); Borehole; Amplitude; Acoustics; Computer science; Physics; Telecommunications; Optics; Seismology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033798,0.000229312,0.0002256609,0.0005016933,0.0001461707,0.0003853957,0.0002949844,0.0002564672,0.0127436],"category_scores_gemma":[0.0008446432,0.00008285446,0.0001674452,0.0009665632,0.0001893424,0.0002333631,0.000203992,0.0001705952,0.002915854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758584,"about_ca_system_score_gemma":0.0002405926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00500345,"about_ca_topic_score_gemma":0.009620372,"domain_scores_codex":[0.9998933,0.00002091756,0.000005445381,0.00001855425,0.00005442238,0.00000720891],"domain_scores_gemma":[0.9996351,0.00009894682,0.000022884,0.00004362536,0.0001865953,0.00001286905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002880397,0.000122371,0.006582128,0.0005671944,0.00004666212,0.001435325,0.000153216,0.03735124,0.1240314,0.008875963,0.1198646,0.700682],"study_design_scores_gemma":[0.00008735416,0.0006151763,0.0567427,0.0001112657,0.000047991,0.001477411,0.0002827499,0.4085086,0.1392339,0.005829632,0.38698,0.00008332451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797933,0.002701519,0.574224,0.002771121,0.003788608,0.001170454,0.00923682,0.01089693,0.2154174],"genre_scores_gemma":[0.5390349,0.002570354,0.322082,0.0003866248,0.0004329286,0.0003079274,0.007663502,0.002029822,0.1254919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0127436,"threshold_uncertainty_score":0.04263157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732082593896394,"score_gpt":0.223427270011098,"score_spread":0.2146951874172016,"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."}}