{"id":"W2794552144","doi":"10.1117/12.2295962","title":"Vision-based concrete crack detection technique using cascade features","year":2018,"lang":"en","type":"article","venue":"Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cascade; Computer science; Structural health monitoring; Artificial intelligence; Face (sociological concept); Delamination (geology); Structural engineering; Bounding overwatch; Sensitivity (control systems); Computer vision; Pattern recognition (psychology); Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002354443,0.0004509886,0.0005402403,0.0002059462,0.0005776964,0.00018797,0.0001939038,0.0007497748,0.000002503385],"category_scores_gemma":[0.0001446888,0.0003627848,0.00009962228,0.0002137292,0.0003991432,0.0001454159,0.00009794053,0.000384334,8.594398e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907823,"about_ca_system_score_gemma":0.00001774367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009819128,"about_ca_topic_score_gemma":0.000107262,"domain_scores_codex":[0.9983038,0.00003229073,0.0003507553,0.0005182279,0.0001868867,0.0006080394],"domain_scores_gemma":[0.9991233,0.00009178741,0.000120123,0.0004374225,0.0001368712,0.0000904704],"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":[0.00009657035,0.00000278686,0.00007275333,0.0005985108,0.0001103291,0.000009831391,0.0001280218,0.000788009,0.9901988,0.002779467,0.002186792,0.003028136],"study_design_scores_gemma":[0.0008494371,0.0007995794,0.0001450955,0.0004255332,0.0001014659,0.0003392352,0.001842741,0.05583628,0.9196734,0.003990347,0.01508519,0.0009116801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012102,0.00165076,0.09003638,0.0001011878,0.003086163,0.001626867,0.00008552196,0.002102183,0.0001006775],"genre_scores_gemma":[0.9910008,0.0001495798,0.008225305,0.00001836566,0.0003985571,0.0000827832,0.000004522657,0.00007569557,0.00004442728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0897905,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008387589538341726,"score_gpt":0.2345909283736748,"score_spread":0.226203338835333,"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."}}