{"id":"W3217406799","doi":"10.1016/j.conbuildmat.2021.125630","title":"Determination of tensile strength of GFRP bars using flexure tests","year":2021,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Ultimate tensile strength; Materials science; Brittleness; Tensile testing; Composite material; Fibre-reinforced plastic; Cracking; Structural engineering; Modulus; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005118668,0.00009946401,0.000226599,0.00007812353,0.00002700206,0.00002488457,0.00003743421,0.00007795531,0.000133943],"category_scores_gemma":[0.00004863536,0.0001031658,0.0000270466,0.0001005274,0.0000808614,0.0001244716,0.00002506748,0.00003520874,2.976663e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001970498,"about_ca_system_score_gemma":0.00001937796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009936064,"about_ca_topic_score_gemma":2.260053e-7,"domain_scores_codex":[0.9994028,0.00001762383,0.0002897222,0.0001028694,0.0000886396,0.00009834806],"domain_scores_gemma":[0.9996287,0.00002693834,0.00009370371,0.0001108156,0.0001093739,0.00003044241],"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":[0.000003758392,2.230483e-7,0.0005193254,0.0001139512,0.00000845351,0.000002006214,0.00002931283,0.0001575369,0.9799002,0.0004571344,0.00000206418,0.01880604],"study_design_scores_gemma":[0.0002079173,0.000009199422,0.001729215,0.0001038241,0.0000375713,0.0001791906,0.00009147386,0.0009476027,0.9964467,0.0001172341,0.00003143084,0.00009861465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973695,0.00008043829,0.001633825,0.000002790064,0.0007017501,0.000057385,0.00003443969,0.00005487043,0.00006498871],"genre_scores_gemma":[0.9279713,0.00003153479,0.07193308,0.000002290993,0.00003659768,0.000001136702,0.000007737511,0.00001171074,0.00000461618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07029926,"threshold_uncertainty_score":0.4206978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458690307315836,"score_gpt":0.2499509272861286,"score_spread":0.2353640242129703,"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."}}