{"id":"W4403116867","doi":"10.1016/j.jobe.2024.110906","title":"A new design approach for predicting the required lap-splice length for new generation GFRP bars in concrete members under reversed cyclic loading","year":2024,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fibre-reinforced plastic; Structural engineering; splice; Engineering; Materials science; Composite material; Biology; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003638345,0.0007382642,0.0005845755,0.0005571306,0.0003839448,0.0004843865,0.0009104789,0.001034367,0.001569613],"category_scores_gemma":[0.0005624935,0.0005266703,0.00053971,0.0002808336,0.0003180383,0.0005042398,0.0003378665,0.0004848807,0.000513849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000681176,"about_ca_system_score_gemma":0.0009681258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005347792,"about_ca_topic_score_gemma":0.008858798,"domain_scores_codex":[0.9998454,0.00002163394,0.000006706497,0.00003498448,0.00007176206,0.00001956147],"domain_scores_gemma":[0.9997804,0.00006695832,0.00003215151,0.00001760687,0.00009297005,0.000009994021],"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":[0.00005232067,0.00007117565,0.00237295,0.00006797336,0.00001797474,0.00007069784,0.00004467864,0.9215833,0.04464297,0.001111746,0.0002973789,0.02966674],"study_design_scores_gemma":[0.000002224927,0.00003077824,0.0003630891,0.00000271151,0.000006715975,0.000008427866,0.000006062705,0.9958704,0.003433728,0.0001096164,0.00016222,0.000003988384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1350533,0.0001010772,0.8586375,0.00005728765,0.00003380297,0.0001071574,0.0001490243,0.0009788226,0.004882063],"genre_scores_gemma":[0.8700663,0.0001078192,0.1262926,0.00003611048,0.00001865462,0.0002082303,0.00016582,0.0001168673,0.00298752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005347792,"threshold_uncertainty_score":0.01063335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492167668366855,"score_gpt":0.256679910137398,"score_spread":0.2217582334537295,"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."}}