{"id":"W2331445787","doi":"10.1061/41016(314)53","title":"Shear Capacity of FRP Stirrups in FRP-Reinforced Concrete Beams Based on Genetic Algorithms Approach","year":2008,"lang":"en","type":"article","venue":"Structures Congress 2008","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Fibre-reinforced plastic; Structural engineering; Shear (geology); Reinforced concrete; Materials science; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007833094,0.0005984785,0.000762583,0.0004027415,0.0001068758,0.00002860225,0.0005842513,0.0003911241,0.0002383947],"category_scores_gemma":[0.00006771636,0.0005718804,0.0002093872,0.0004345016,0.0004920791,0.0001735753,0.00005258059,0.0006748292,0.00001102599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508129,"about_ca_system_score_gemma":0.00008229083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003072433,"about_ca_topic_score_gemma":8.562783e-7,"domain_scores_codex":[0.9972779,0.00006442991,0.0007482218,0.0004796142,0.0006995064,0.0007303673],"domain_scores_gemma":[0.998572,0.0001214749,0.0001580662,0.0007931018,0.0001183291,0.0002370296],"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":[0.0001137252,5.775017e-7,0.001667384,0.0001575336,0.00007415398,0.0001188824,0.0004834554,0.9805208,0.01397768,0.0003162679,0.0003507241,0.002218829],"study_design_scores_gemma":[0.004098396,0.0003644299,0.07080626,0.0001171567,0.00006969558,0.0002468725,0.00007846109,0.718168,0.2041432,0.00007982859,0.0004241927,0.001403494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918162,0.0002490119,0.003653172,0.000007429787,0.0008800149,0.0006624589,0.0001689523,0.000302153,0.002260585],"genre_scores_gemma":[0.9654461,0.00004032665,0.03399828,0.00007324102,0.0001182315,0.00004404624,0.00008217472,0.00009510235,0.0001025488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2623528,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850087321219071,"score_gpt":0.2190528380338263,"score_spread":0.2005519648216356,"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."}}