{"id":"W4376612880","doi":"10.1080/15376494.2023.2212649","title":"Investigating the structural response of log walls to lateral loading: A parametric study of geometric and material parameters","year":2023,"lang":"en","type":"article","venue":"Mechanics of Advanced Materials and Structures","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Stiffness; Structural engineering; Parametric statistics; Finite element method; Reinforcement; Work (physics); Materials science; Engineering; Mathematics; Statistics; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002713281,0.0001832645,0.0004235496,0.0003506681,0.00005535238,0.00003911894,0.0001274396,0.00005599615,0.00001087046],"category_scores_gemma":[0.0001677615,0.0001202589,0.00002232714,0.0005269214,0.00003743245,0.00008298625,0.0001063439,0.00004219337,2.294764e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009892206,"about_ca_system_score_gemma":0.000006224261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007251897,"about_ca_topic_score_gemma":0.000005373491,"domain_scores_codex":[0.9989862,0.00008583645,0.0004096414,0.0001637277,0.0001649328,0.000189653],"domain_scores_gemma":[0.9994361,0.0001713921,0.0001220231,0.000182859,0.00003927183,0.000048349],"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":[0.0004344632,0.000006215785,0.0003418305,0.0002222768,0.00009618155,0.000001976824,0.001842705,0.008089284,0.9873524,0.0002140782,0.000007033725,0.001391507],"study_design_scores_gemma":[0.0006698191,0.0008644827,0.02261663,0.0000397121,0.0000481643,0.00000437414,0.0008495484,0.0003440048,0.9685345,0.005881302,0.00000333355,0.0001441281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988454,0.0001313797,0.00000610577,0.00001411978,0.0003925965,0.0004440147,0.0001182897,0.00004666289,0.00000140651],"genre_scores_gemma":[0.9985816,0.00005339805,0.001296214,0.000005314176,0.0000134312,0.00001688254,0.00000635377,0.0000222716,0.000004537795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222748,"threshold_uncertainty_score":0.4904015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185469679765887,"score_gpt":0.2394113049296922,"score_spread":0.2208643369531035,"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."}}