{"id":"W7084497524","doi":"10.1007/978-3-031-95288-3_9","title":"Crack Monitoring in GFRP-Reinforced Concrete Beams Using Digital Image Correlation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Digital image correlation; Beam (structure); Displacement (psychology); Durability; Transducer; Reliability (semiconductor); Structural health monitoring; Measure (data warehouse)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001413768,0.0003726275,0.0003853443,0.0001273854,0.00004965997,0.0001770185,0.0003044385,0.0005675147,0.0002003348],"category_scores_gemma":[0.0004355372,0.0002136935,0.0001067871,0.0002274751,0.00004003818,0.0001447653,0.0001988772,0.0009531754,0.00001897838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638361,"about_ca_system_score_gemma":0.00003017415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027462,"about_ca_topic_score_gemma":0.0001053872,"domain_scores_codex":[0.9983076,0.0000105331,0.0004109915,0.0004477344,0.000351874,0.0004712605],"domain_scores_gemma":[0.9990309,0.0006328694,0.00006986037,0.0001133232,0.00006728682,0.00008576512],"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":[0.00004308256,0.000004338747,0.00114163,0.0001879181,0.00004775196,0.0001183795,0.0001805786,0.5123809,0.4407001,0.0008648074,0.000008678138,0.04432185],"study_design_scores_gemma":[0.001759191,0.0005727983,0.01628916,0.007410999,0.0001078693,0.00007040794,0.00003828204,0.8782742,0.07583748,0.005738127,0.009007661,0.004893848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6348599,0.006134294,0.202555,0.001321971,0.004797677,0.005633541,0.0005177384,0.001371161,0.1428087],"genre_scores_gemma":[0.9955341,0.00006489691,0.001571523,0.00001648928,0.0004000932,0.000008927722,0.00009295806,0.00001134534,0.002299656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3658933,"threshold_uncertainty_score":0.8714167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540458865125827,"score_gpt":0.2226205387368078,"score_spread":0.2072159500855495,"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."}}