{"id":"W4388621274","doi":"10.1177/13694332231213457","title":"Self-sensing nano-engineered ultra-high performance concrete (UHPC) under tension","year":2023,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Materials science; Tension (geology); Composite material; Bending; Nano-; Digital image correlation; Deformation (meteorology); Electrical resistivity and conductivity; Electrical resistance and conductance; Resilience (materials science); Structural engineering; Electrical engineering; Ultimate tensile strength; Engineering","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":[0.0002250693,0.000232666,0.0001160421,0.0001596249,0.0001000397,0.0001673997,0.000160743,0.0003216196,0.0004764741],"category_scores_gemma":[0.000384928,0.0001143813,0.0001133968,0.0001306335,0.0002971162,0.000330786,0.0002436915,0.0003586588,0.0001438316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698651,"about_ca_system_score_gemma":0.0001324426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644775,"about_ca_topic_score_gemma":0.001358329,"domain_scores_codex":[0.9997885,0.00002391783,0.00001204241,0.00004450586,0.0001059305,0.00002517909],"domain_scores_gemma":[0.9996777,0.00006503773,0.000120208,0.00003689552,0.00007104504,0.00002919243],"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":[0.00000668033,0.000003779245,0.000129808,0.00002508032,0.000001608029,0.00003104031,0.00001638331,0.0003568431,0.9983978,0.00006199469,0.00001309378,0.000955897],"study_design_scores_gemma":[0.000002295379,0.00009912691,0.00200627,0.00000646314,0.000005807074,0.0001127245,0.00002719921,0.002903014,0.9937663,0.0000403629,0.001022973,0.000007505429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864169,0.0003383267,0.01199879,0.00004874151,0.00002516112,0.00001538426,0.00008892262,0.00008855474,0.0009791297],"genre_scores_gemma":[0.9940698,0.0001574714,0.004828371,0.00001924825,0.000003676064,0.00001219707,0.0000602201,0.000009527323,0.0008394902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004764741,"threshold_uncertainty_score":0.001594007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004016606500484628,"score_gpt":0.1957724332244058,"score_spread":0.1917558267239212,"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."}}