{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380041,0.000210657,0.0001658834,0.0006138234,0.0001184987,0.000253293,0.0002301916,0.0002469586,0.0007262605],"category_scores_gemma":[0.0002926426,0.0001873383,0.0001462527,0.0003154748,0.0003110541,0.000324208,0.0002222523,0.0002824202,0.0001514046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392077,"about_ca_system_score_gemma":0.00009832004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276063,"about_ca_topic_score_gemma":0.001912442,"domain_scores_codex":[0.9998904,0.00001154624,0.000003292378,0.00003088263,0.00005115007,0.00001268793],"domain_scores_gemma":[0.9998063,0.00004425474,0.00005518227,0.00001797995,0.00005842729,0.00001785083],"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":[0.0001424629,0.00003195078,0.009496031,0.00004879445,0.000007235969,0.000062131,0.0001488279,0.001826323,0.9779187,0.00006013616,0.0000619092,0.01019556],"study_design_scores_gemma":[0.00001721518,0.0006108311,0.1416826,0.00002936707,0.00004875209,0.0007142643,0.0004790214,0.05397748,0.8012637,0.0001399988,0.0009904004,0.00004636685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887116,0.0001230262,0.01020767,0.00001371323,0.00000430347,0.000009674096,0.00007169401,0.00009700634,0.000761247],"genre_scores_gemma":[0.9918274,0.00007776311,0.007617487,0.000004769117,0.000003372059,0.000004853187,0.00005082408,0.00001034377,0.0004030069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001276063,"threshold_uncertainty_score":0.00253731,"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."}}