{"id":"W4407936992","doi":"10.2139/ssrn.5154150","title":"Response of Hybrid Sma-Steel Reinforced Slender Concrete Shear Wall: Impact of Reinforcement Details","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"SMA*; Reinforcement; Structural engineering; Reinforced concrete; Shear wall; Materials science; Shear (geology); Composite material; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002059442,0.0005770338,0.001133879,0.0005274304,0.00008761018,0.00004508453,0.0007945527,0.0002500911,0.0003473772],"category_scores_gemma":[0.0001399115,0.0004954861,0.001347685,0.0002927353,0.00008837773,0.0001463588,0.0002367526,0.003360255,0.000004345853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707215,"about_ca_system_score_gemma":0.003323245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615388,"about_ca_topic_score_gemma":0.00001045412,"domain_scores_codex":[0.9956692,0.0002286022,0.001370466,0.0003150982,0.0005453794,0.001871281],"domain_scores_gemma":[0.9980558,0.00016096,0.0006187849,0.0007015947,0.0003064772,0.0001563967],"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":[0.001441516,0.00000143491,0.00008843054,0.0003248473,0.004686957,0.00001062136,0.0002090406,0.9786159,0.00742324,0.005237082,0.0001729549,0.001787906],"study_design_scores_gemma":[0.004254559,0.002536942,0.001068345,0.001391768,0.002949897,0.000808096,0.001116959,0.9087034,0.05731528,0.01626089,0.001023452,0.002570381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841754,0.003401341,0.009696433,0.00008613797,0.0003149374,0.0003381502,0.00007961167,0.00008872988,0.001819229],"genre_scores_gemma":[0.9917097,0.004341338,0.0001935245,0.00002005298,0.00008861821,0.00001078551,0.00004831967,0.00003923092,0.003548408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06991254,"threshold_uncertainty_score":0.9997497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007702215818417995,"score_gpt":0.2375654406277235,"score_spread":0.2298632248093055,"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."}}