{"id":"W2735864095","doi":"10.1007/978-3-319-61914-9_19","title":"Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks Using Infrared Thermography","year":2017,"lang":"en","type":"book-chapter","venue":"Sustainable civil infrastructures","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Thermography; Delamination (geology); Bridge (graph theory); Nondestructive testing; Cluster analysis; Structural engineering; Deck; Computer science; Engineering; Forensic engineering; Infrared; Artificial intelligence; Geology","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":[0.0005597771,0.0006101374,0.001036103,0.0005937667,0.0003626319,0.0008177278,0.001883378,0.001028537,0.001688077],"category_scores_gemma":[0.001208832,0.0003860841,0.000889598,0.0008789708,0.0004703601,0.0009646643,0.0005804744,0.0009488247,0.0003979032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181976,"about_ca_system_score_gemma":0.0008461089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426,"about_ca_topic_score_gemma":0.01585966,"domain_scores_codex":[0.9997551,0.00004022185,0.00001433286,0.00008767748,0.00006228944,0.00004037079],"domain_scores_gemma":[0.9995841,0.0002022445,0.00003830297,0.00002926586,0.0001283224,0.00001782076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004023578,0.00002500666,0.0005311886,0.00003047587,0.00002189264,0.00001627963,0.00002697007,0.9722314,0.00157892,0.001767837,0.0003778766,0.02335193],"study_design_scores_gemma":[5.890146e-7,0.000003336136,0.0001250525,0.000001742906,0.000002483756,0.000002605957,0.000002592952,0.9990805,0.0001293186,0.0006102897,0.00003885738,0.000002537442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04226549,0.0004229622,0.9544978,0.00009842576,0.00003987085,0.0000419007,0.0001566893,0.0006112126,0.001865633],"genre_scores_gemma":[0.9127331,0.0004093844,0.08150302,0.00006297416,0.0000414509,0.0001467611,0.0005014206,0.00009368824,0.004508155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02426,"threshold_uncertainty_score":0.04823756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811806574005488,"score_gpt":0.2735847176366106,"score_spread":0.2554666518965558,"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."}}