{"id":"W4392122510","doi":"10.1016/j.conbuildmat.2024.135542","title":"Passive infrared thermography for subsurface delamination detection in concrete infrastructure: Capabilities","year":2024,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Thermography; Delamination (geology); Infrared; Materials science; Nondestructive testing; Remote sensing; Geology; Optics; Seismology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000158948,0.0001404851,0.0001589358,0.0002754216,0.00005517782,0.0001423263,0.00004036893,0.0001341466,0.00004258962],"category_scores_gemma":[0.00002054634,0.0001372472,0.00003996626,0.0002043695,0.0001062033,0.0001852973,0.000008227008,0.00007467199,1.674308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000367204,"about_ca_system_score_gemma":0.000008591268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364641,"about_ca_topic_score_gemma":0.000003145404,"domain_scores_codex":[0.9993716,0.00003123982,0.0002289766,0.0001697136,0.00005352862,0.0001449244],"domain_scores_gemma":[0.9997481,0.00009488461,0.00002625856,0.00007527725,0.00002907266,0.00002646835],"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":[0.00002027435,4.808065e-7,0.0000680509,0.0003108676,0.00002609911,7.665759e-7,0.0003238283,0.00007966565,0.9495643,0.003429104,0.00003785947,0.0461387],"study_design_scores_gemma":[0.0001792322,0.00002903142,0.001783212,0.000129084,0.00002332506,0.00003157595,0.0002132387,0.001615215,0.9715976,0.02299371,0.001228964,0.0001758327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530553,0.0003690929,0.0440103,0.00001039968,0.001302326,0.000349244,0.0002469071,0.0005956115,0.00006080244],"genre_scores_gemma":[0.9959957,0.0001759376,0.003584098,0.000006847041,0.00008027317,0.0001161114,0.00001313893,0.00002391046,0.000003957724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04596286,"threshold_uncertainty_score":0.559678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004027079065200728,"score_gpt":0.2064036590156903,"score_spread":0.2023765799504896,"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."}}