{"id":"W1973183591","doi":"10.1016/j.jappgeo.2007.02.003","title":"Using radar direct wave for concrete condition assessment: Correlation with electrical resistivity","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Radar; Corrosion; Electrical resistivity and conductivity; Nondestructive testing; Materials science; Slab; Geotechnical engineering; Attenuation; Acoustics; Composite material; Structural engineering; Geology; Engineering; Optics; Electrical engineering; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417388,0.0004848188,0.0003506822,0.001641307,0.000131957,0.0006539685,0.0002869534,0.0007655169,0.0009836616],"category_scores_gemma":[0.004091362,0.0002726725,0.000208735,0.001216699,0.0003720788,0.0009166438,0.0004025084,0.0003971192,0.0005348187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143169,"about_ca_system_score_gemma":0.0001723764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005468641,"about_ca_topic_score_gemma":0.001375182,"domain_scores_codex":[0.9995717,0.0001351225,0.00002476989,0.0000620699,0.0001692356,0.00003708141],"domain_scores_gemma":[0.9975345,0.0012276,0.0003488411,0.0002302319,0.0005824651,0.00007628227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001302665,0.0005924861,0.4140228,0.000405906,0.0002515743,0.0008485143,0.0003213833,0.04399712,0.2569368,0.001293202,0.001528233,0.2784993],"study_design_scores_gemma":[0.0001558799,0.00118558,0.3640341,0.00007354984,0.0005352016,0.003484542,0.0004952478,0.4783544,0.1464218,0.002788237,0.002324107,0.0001475595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059246,0.000675566,0.08780274,0.0001375385,0.00006204993,0.00005368305,0.0004155437,0.0003114639,0.004616792],"genre_scores_gemma":[0.9895452,0.000398476,0.009339163,0.00003028982,0.00003096781,0.00001120757,0.0001630207,0.00001785336,0.0004638868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641307,"threshold_uncertainty_score":0.003922701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027193825785699,"score_gpt":0.2900715631416456,"score_spread":0.2697996248837886,"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."}}