{"id":"W1980942374","doi":"10.1061/(asce)1090-0268(2007)11:6(640)","title":"Numerical Modeling of FRP Shear-Strengthened Reinforced Concrete Beams","year":2007,"lang":"en","type":"article","venue":"Journal of Composites for Construction","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fibre-reinforced plastic; Materials science; Finite element method; Structural engineering; Shear (geology); Reinforcement; Reinforced concrete; Composite material; Slip (aerodynamics); Nonlinear system; 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":[0.0002737787,0.0001939095,0.0004463524,0.0002576087,0.00005860472,0.00002771858,0.000193674,0.0001398718,0.00002136876],"category_scores_gemma":[0.00005119508,0.0001839184,0.0002622551,0.0001848102,0.00007869177,0.0003418738,0.00001285324,0.0002625633,0.000001137199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104729,"about_ca_system_score_gemma":0.00003095399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006645853,"about_ca_topic_score_gemma":3.707619e-8,"domain_scores_codex":[0.9982945,0.00001134485,0.001020764,0.00009203443,0.0003070961,0.0002742443],"domain_scores_gemma":[0.9987689,0.0001763381,0.0003635819,0.0001495071,0.0004016098,0.0001400352],"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":[0.0003844269,2.197262e-7,0.0001548648,0.00008019802,0.0001464962,0.000006045244,0.0002076042,0.5133453,0.464141,0.001082012,0.00001884077,0.02043296],"study_design_scores_gemma":[0.001086926,0.0003065719,0.00005791021,0.00009362614,0.0001125872,0.0006443467,0.000126952,0.5142024,0.4828462,0.000171177,0.0001566549,0.0001946816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5887543,0.0001367511,0.4097627,0.000009263576,0.000756891,0.0001260055,0.000005550114,0.00004762169,0.0004009638],"genre_scores_gemma":[0.8517537,0.00001967219,0.1479695,0.00000847304,0.0002032144,0.000001275001,0.000007027893,0.00002719654,0.000009911353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2629994,"threshold_uncertainty_score":0.7499976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032392431374029,"score_gpt":0.2346875189506878,"score_spread":0.2243635946369475,"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."}}