{"id":"W4285274638","doi":"10.2749/prague.2022.0431","title":"Subsurface defect detection in concretes by active infrared thermography","year":2022,"lang":"en","type":"article","venue":"Report","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Thermography; Slab; Infrared; Thermal; Irradiance; Environmental science; Materials science; Thermal infrared; Void (composites); Remote sensing; Structural engineering; Optics; Geology; Composite material; Meteorology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002251443,0.0001110347,0.0001316557,0.0001406765,0.00006856192,0.000009549412,0.00008413706,0.0000496245,0.0001237673],"category_scores_gemma":[0.00001280043,0.0001250315,0.0001084781,0.0004943702,0.00002186184,0.00005961998,0.00002306167,0.0002682224,3.012638e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006599286,"about_ca_system_score_gemma":0.000009686125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063326,"about_ca_topic_score_gemma":0.00001028274,"domain_scores_codex":[0.9992961,0.00004441767,0.0001928128,0.0001557032,0.0001439703,0.0001669503],"domain_scores_gemma":[0.9996631,0.00004773741,0.00004786062,0.0001981149,0.00001209927,0.00003105984],"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":[0.00007505138,0.00004131081,0.01359121,0.00004111433,0.0001794169,0.0003819751,0.001080251,0.00311148,0.961892,0.00002678892,0.00223479,0.01734461],"study_design_scores_gemma":[0.000493222,0.0002231516,0.03897315,0.00002117033,0.00005307672,0.000532964,0.0006839291,0.002710835,0.9107867,0.00204045,0.0427861,0.0006952514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886752,0.0005358094,0.001818119,0.000002618081,0.000177625,0.0002340522,0.0001200391,0.0006749608,0.007761532],"genre_scores_gemma":[0.9996085,0.00002664217,0.00005493745,0.00001302152,0.00001064439,0.0001792979,0.00002781107,0.0000271735,0.0000520182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0511053,"threshold_uncertainty_score":0.5098635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003719909458512517,"score_gpt":0.1892536704854005,"score_spread":0.185533761026888,"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."}}