{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002710874,0.0003844626,0.0002441953,0.0002320277,0.0002179644,0.0002612618,0.0002879987,0.0004306341,0.001656294],"category_scores_gemma":[0.001091795,0.0001998194,0.0001940221,0.0001365854,0.0004975131,0.0003656284,0.0003502883,0.0003160489,0.0002453873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008636596,"about_ca_system_score_gemma":0.0001472088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002816463,"about_ca_topic_score_gemma":0.0004386785,"domain_scores_codex":[0.9998233,0.00003460414,0.000007208405,0.00002147977,0.00007615725,0.00003733363],"domain_scores_gemma":[0.9993196,0.0004434982,0.00009880331,0.0000835172,0.00003467958,0.00002007079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004008862,0.0003333653,0.007473882,0.0001102125,0.00001598713,0.0003449447,0.0002195798,0.06216462,0.9122172,0.0003450073,0.0001365209,0.01623791],"study_design_scores_gemma":[0.00003498272,0.002734107,0.05761371,0.00002845323,0.0000495469,0.0007036896,0.0007088695,0.1980178,0.7375888,0.0005877352,0.001856899,0.00007540302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949522,0.00001943608,0.003963909,0.00001183149,0.000003101748,0.00001029092,0.00002916321,0.00002669407,0.0009835504],"genre_scores_gemma":[0.9989729,0.00001924477,0.0006557749,0.00000331216,0.000001066736,0.0000107962,0.00001864598,0.000004327738,0.0003139862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001656294,"threshold_uncertainty_score":0.005540848,"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."}}