{"id":"W4386291384","doi":"10.1007/s10999-023-09675-4","title":"Prediction of shear behavior of glass FRP bars-reinforced ultra-highperformance concrete I-shaped beams using machine learning","year":2023,"lang":"en","type":"article","venue":"International Journal of Mechanics and Materials in Design","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Bauhaus-Universität Weimar; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Youth Innovation Promotion Association; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Fibre-reinforced plastic; Structural engineering; Artificial neural network; Support vector machine; Hyperparameter; Computer science; Shear (geology); Reinforced concrete; Materials science; Machine learning; Engineering; Composite material","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":[0.0009301052,0.0007378159,0.0003840244,0.001217822,0.0001473691,0.0003710611,0.0005424907,0.0006846488,0.0005218814],"category_scores_gemma":[0.001712222,0.0001920961,0.0007913434,0.0005401266,0.0002046821,0.0004777742,0.0002331212,0.0003566035,0.0002488754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005007304,"about_ca_system_score_gemma":0.0003752579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004631322,"about_ca_topic_score_gemma":0.004472181,"domain_scores_codex":[0.9996767,0.00008476049,0.0000176413,0.00007556353,0.0001087835,0.00003656572],"domain_scores_gemma":[0.9989697,0.0005128884,0.0001970866,0.00006256461,0.0002234835,0.00003422704],"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":[0.0000992936,0.0001648466,0.04430504,0.00004880715,0.00005598928,0.00005469135,0.00002267478,0.9167382,0.006166338,0.0002074228,0.0002432335,0.03189348],"study_design_scores_gemma":[0.000001526183,0.00005331626,0.007262028,0.000005242631,0.000005684177,0.000006236319,0.00001041221,0.9902701,0.002258545,0.0000796522,0.00004306439,0.000004227225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941353,0.0001585128,0.05708707,0.00005223332,0.00001487723,0.00002170874,0.0002757854,0.0002680077,0.0007688224],"genre_scores_gemma":[0.9944149,0.00002878031,0.00513962,0.000005260062,0.000002116249,0.00001138476,0.0002208092,0.000004547462,0.0001725393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004631322,"threshold_uncertainty_score":0.009208679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050168637701107,"score_gpt":0.2513859363282553,"score_spread":0.2208842499512443,"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."}}