{"id":"W4233175266","doi":"10.32920/ryerson.14663823","title":"Shear strength evaluation of reinforced recycled aggregate concrete beams","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Shear (geology); Shear strength (soil); Reinforcement; Structural engineering; Reinforced concrete; Materials science; Aggregate (composite); Artificial neural network; Geotechnical engineering; Composite material; Computer science; Geology; 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":[0.0006661697,0.0004677231,0.0002895341,0.0008726814,0.0001854263,0.0002786655,0.0005451808,0.0004160366,0.001629615],"category_scores_gemma":[0.0005728381,0.0002551348,0.000464196,0.000366253,0.0003254011,0.0003322867,0.0002528286,0.0001937467,0.0004166037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584222,"about_ca_system_score_gemma":0.0003837592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370773,"about_ca_topic_score_gemma":0.004735439,"domain_scores_codex":[0.9997076,0.00004679425,0.0000119688,0.00004699532,0.0001658662,0.00002076284],"domain_scores_gemma":[0.9996475,0.0001010823,0.00005673234,0.00003684919,0.0001429031,0.00001491932],"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":[0.0005435836,0.0001664062,0.03164972,0.0003761283,0.0000725,0.0005425194,0.0003518712,0.2976173,0.6048263,0.001747807,0.0003851799,0.06172061],"study_design_scores_gemma":[0.00002028267,0.001234309,0.03944716,0.00005343854,0.00008078734,0.0001666932,0.000242119,0.486351,0.4701361,0.000408214,0.001810153,0.00004974174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847125,0.000258728,0.01239705,0.0000195644,0.000006966695,0.0000175127,0.0001817973,0.0001106697,0.002295249],"genre_scores_gemma":[0.9960858,0.0001458632,0.002553801,0.00000471163,8.296906e-7,0.000009595386,0.0001022955,0.000006942331,0.00109023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370773,"threshold_uncertainty_score":0.00545162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336093217717631,"score_gpt":0.2554401264939513,"score_spread":0.232079194316775,"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."}}