{"id":"W4391264907","doi":"10.1016/j.dibe.2024.100343","title":"Strain-hardening effect on the flexural behavior of ultra-high-performance fiber-reinforced concrete beams with steel rebars","year":2024,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Materials science; Flexural strength; Volume fraction; Composite material; Fiber-reinforced concrete; Ultimate tensile strength; Ductility (Earth science); Strain hardening exponent; Cracking; Softening; Fiber; Hardening (computing); Structural engineering; Creep; Layer (electronics)","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":[0.0002074022,0.0003638655,0.0001202642,0.0002010966,0.00008679992,0.00008182049,0.0001425399,0.0001866006,0.0008991486],"category_scores_gemma":[0.0002510441,0.0001389944,0.0002019447,0.0001125096,0.0001253038,0.0002591464,0.0001144671,0.0001871512,0.000153327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009525927,"about_ca_system_score_gemma":0.00007975921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007089556,"about_ca_topic_score_gemma":0.001613391,"domain_scores_codex":[0.9998682,0.00002184911,0.000007541236,0.0000207342,0.00005304696,0.00002871015],"domain_scores_gemma":[0.9997769,0.00006035106,0.00007115054,0.00001658463,0.00004890847,0.00002613661],"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":[0.00006842892,0.00002080877,0.001530805,0.00002567869,0.000008096079,0.00003269835,0.00002240378,0.0007783708,0.9948179,0.00001528451,0.000004842806,0.002674702],"study_design_scores_gemma":[0.000002991462,0.0004311729,0.02229527,0.000005235359,0.00001795076,0.0000793972,0.00002513085,0.00258085,0.974261,0.00001202165,0.0002820408,0.00000697784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990091,0.0001693339,0.000633052,0.000003016777,0.000001785894,0.000001914257,0.00001130519,0.000009534169,0.0001609112],"genre_scores_gemma":[0.9990391,0.0001170261,0.0005314791,0.000005112311,0.000001081673,0.000001936992,0.00001848343,0.000003654053,0.0002820861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008991486,"threshold_uncertainty_score":0.003007889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088546538632767,"score_gpt":0.2121488293169125,"score_spread":0.2012633639305849,"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."}}