{"id":"W4385602251","doi":"10.1007/978-3-031-34159-5_8","title":"Strengthening Shear-Damaged Reinforced Concrete Beams Using Iron-Based Shape Memory Alloys","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SMA*; Materials science; Cracking; Structural engineering; Shear (geology); Reinforcement; Shape-memory alloy; Reinforced concrete; Parametric statistics; 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":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0002733092,0.001512456,0.001284835,0.001078872,0.0001062733,0.0001486775,0.0007119722,0.001412722,0.0006955501],"category_scores_gemma":[0.0003285724,0.001753167,0.0004702735,0.0003303529,0.00009755282,0.0002287479,0.0001620664,0.00272361,0.0000700246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892514,"about_ca_system_score_gemma":0.0001213113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005850823,"about_ca_topic_score_gemma":0.00001911894,"domain_scores_codex":[0.9960678,0.00001652615,0.001133758,0.0008043256,0.0007648251,0.00121277],"domain_scores_gemma":[0.9975375,0.0008980416,0.0001998427,0.0009876301,0.00008858769,0.0002883872],"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":[0.00001510091,5.166543e-8,0.000004556799,0.0004898725,0.00009475568,0.000189486,0.0001671519,0.9754692,0.01948338,0.0002049049,0.00001288035,0.003868707],"study_design_scores_gemma":[0.0008092491,0.00004931946,0.00001308376,0.001647383,0.0001588815,0.00003502219,0.000004358582,0.9841627,0.01056952,0.00003367976,0.0007153855,0.001801381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2845088,0.008980571,0.5235451,0.000234545,0.02467857,0.009267972,0.001044407,0.03649206,0.111248],"genre_scores_gemma":[0.9550083,0.0002029503,0.03462131,0.000173484,0.001561242,0.0001050393,0.0006644968,0.002523872,0.005139369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6704994,"threshold_uncertainty_score":0.9998837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583443919609285,"score_gpt":0.2163942010169921,"score_spread":0.2005597618208992,"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."}}