{"id":"W4386641097","doi":"10.1002/cepa.2756","title":"Memory‐Steel for Smart Steel Structures: A Review on Recent Developments and Applications","year":2023,"lang":"en","type":"review","venue":"ce/papers","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"SMA*; Shape-memory alloy; Pseudoelasticity; Materials science; Bridge (graph theory); Structural engineering; Smart material; Composite material; Mechanical engineering; Metallurgy; Engineering; Computer science; Martensite; Microstructure","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":[0.0004646283,0.0009807214,0.0009800773,0.002846366,0.0002809139,0.0008538687,0.0006270401,0.0009281501,0.005081035],"category_scores_gemma":[0.000496664,0.0004367655,0.0005914372,0.002886121,0.0003175294,0.001185804,0.0005322985,0.001106948,0.002143919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426227,"about_ca_system_score_gemma":0.0008655772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019822,"about_ca_topic_score_gemma":0.001651704,"domain_scores_codex":[0.9998227,0.00001850428,0.00002283231,0.00003831291,0.00008015027,0.00001760381],"domain_scores_gemma":[0.9997551,0.0001127686,0.00003585664,0.00000859793,0.00007054362,0.00001714123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005565285,0.00009725738,0.0001577441,0.03495137,0.00009832858,0.0001678125,0.00007960037,0.0008619,0.005968431,0.009644077,0.02714731,0.9207706],"study_design_scores_gemma":[0.000006759271,0.0000834503,0.0003642305,0.0025278,0.00006819172,0.0004546633,0.00003805375,0.0001162538,0.001032948,0.001164459,0.9941274,0.00001585684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002230862,0.9977309,0.0002014712,0.000120678,0.0001846434,0.000005181307,0.00002254337,0.00001008969,0.001501407],"genre_scores_gemma":[0.001076174,0.9972806,0.000326689,0.0001162217,0.0001241114,0.000007117002,0.00003263668,0.000002700413,0.001033726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005081035,"threshold_uncertainty_score":0.01699775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616231212799104,"score_gpt":0.3509098875679867,"score_spread":0.2647475754399957,"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."}}