{"id":"W4391990991","doi":"10.1139/cjce-2023-0395","title":"Structural performance of large-scale 3D-printed walls subjected to axial compression load","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Masonry; 3d printed; Structural engineering; Cracking; 3D printing; Compressive strength; Stiffness; Finite element method; Compression (physics); Load bearing; Unreinforced masonry building; Materials science; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003834661,0.0004464209,0.0002620059,0.0004368529,0.0002123631,0.0003651572,0.0003198677,0.0006493095,0.001794309],"category_scores_gemma":[0.0008843367,0.00025849,0.0003314941,0.0002731351,0.0005801365,0.0003018522,0.0004159572,0.0003767603,0.0004219579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836619,"about_ca_system_score_gemma":0.0001560541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004410803,"about_ca_topic_score_gemma":0.001327938,"domain_scores_codex":[0.9996029,0.00002878806,0.00003058324,0.00005251315,0.0002363578,0.00004884514],"domain_scores_gemma":[0.9992025,0.0002646501,0.0001614316,0.0001428727,0.0001527341,0.00007580956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001758541,0.00003982773,0.001522603,0.00007075159,0.000009818011,0.0002987271,0.0001421208,0.01052995,0.981302,0.00009408878,0.00006643373,0.005747814],"study_design_scores_gemma":[0.00001032037,0.0007907191,0.02293537,0.00002178748,0.00002129847,0.0001753577,0.0002057692,0.0106056,0.9644744,0.00005892351,0.0006708622,0.00002963431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977965,0.00008511585,0.001145528,0.000007988177,0.00001499324,0.000005888972,0.00007131595,0.00005366126,0.0008190884],"genre_scores_gemma":[0.9977959,0.00005920444,0.0009749105,0.000009785904,0.000002325946,0.000007699908,0.00007226923,0.00001480985,0.001063032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794309,"threshold_uncertainty_score":0.006002545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00610238625840802,"score_gpt":0.2003320910374242,"score_spread":0.1942297047790162,"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."}}