{"id":"W4385602350","doi":"10.1007/978-3-031-34159-5_56","title":"Numerical Evaluation of the Cyclic Response Parameters of Steel–Concrete Composite Shear","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Structural engineering; Materials science; Infill; Finite element method; Composite number; Shear (geology); Stiffness; Shear wall; Rod; Composite material; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209434,0.0002827885,0.0002512855,0.0006572967,0.0002287755,0.000315148,0.0004895374,0.0005919241,0.003324725],"category_scores_gemma":[0.001493686,0.0002095184,0.0002269146,0.0006796628,0.0004371737,0.0002832712,0.0002429779,0.0002642585,0.0002989227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480203,"about_ca_system_score_gemma":0.0003312208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611476,"about_ca_topic_score_gemma":0.002778433,"domain_scores_codex":[0.9998759,0.00002942493,0.0000052244,0.00001352888,0.00006025007,0.00001566228],"domain_scores_gemma":[0.9991326,0.0005087694,0.00007194271,0.00006903095,0.0001869727,0.00003072446],"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":[0.0005226643,0.0002268567,0.003107028,0.0001374519,0.00001863062,0.0001799837,0.0001695118,0.8716345,0.07960595,0.003847213,0.001051464,0.0394987],"study_design_scores_gemma":[0.00001073978,0.0001162537,0.002531043,0.000007642036,0.000007317292,0.00003726198,0.00004491657,0.9846593,0.01176705,0.0003803535,0.0004268171,0.00001134829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442519,0.000300179,0.03305501,0.00008919693,0.0000344753,0.00003609034,0.000206412,0.0002817523,0.021745],"genre_scores_gemma":[0.9941074,0.00004877529,0.004389445,0.000005527584,0.000004048064,0.00001085844,0.00005785683,0.0000204211,0.001355725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003324725,"threshold_uncertainty_score":0.01112229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184652017533452,"score_gpt":0.2299444517058325,"score_spread":0.2114792499524873,"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."}}