{"id":"W2055874499","doi":"10.1177/0731684411399944","title":"Improved interdigital sensors for structural health monitoring of composite retrofit systems","year":2011,"lang":"en","type":"article","venue":"Journal of Reinforced Plastics and Composites","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Capacitance; Slab; Structural health monitoring; Retrofitting; Composite number; Structural engineering; Finite element method; Composite material; SIGNAL (programming language); Dielectric; Dependency (UML); Noise (video); Acoustics; Computer science; Engineering; Optoelectronics","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":[0.0001322843,0.0001725317,0.0004490169,0.000171687,0.0000670284,0.00004063453,0.0001543608,0.00007612967,6.828896e-7],"category_scores_gemma":[0.00002710441,0.0001452219,0.00008661189,0.00007203121,0.00003904453,0.00017705,0.00003091112,0.0002106044,8.556823e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008510783,"about_ca_system_score_gemma":0.00002535753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002938455,"about_ca_topic_score_gemma":2.416908e-7,"domain_scores_codex":[0.9987518,0.00001308169,0.0007750791,0.00007500358,0.0001471678,0.0002379313],"domain_scores_gemma":[0.9989002,0.0001906997,0.0004221941,0.0001021985,0.0002250505,0.0001596466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005523387,0.00005130408,0.1999193,0.02132738,0.003089507,0.00008216053,0.0171695,0.1657294,0.5198222,0.01046061,0.001854477,0.05497078],"study_design_scores_gemma":[0.002296191,0.005168891,0.05655756,0.002771723,0.000142979,0.0006577947,0.001086855,0.5413364,0.3886184,0.0003907837,0.0002045662,0.0007678592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986828,0.0008134778,0.01050019,0.000004899453,0.001529164,0.0001965453,0.00002729647,0.00006162324,0.00003885151],"genre_scores_gemma":[0.9672847,0.0001541559,0.03227586,0.000002449579,0.0002460289,0.000002324266,0.000002216998,0.0000241177,0.000008160066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.375607,"threshold_uncertainty_score":0.5921978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144993740366512,"score_gpt":0.2577123466897003,"score_spread":0.2362624092860352,"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."}}