{"id":"W2547187370","doi":"","title":"STR-930: CROSS LAMINATED TIMBER WALLS WITH OPENINGS: IN-PLANE STIFFNESS PREDICTION AND SENSITIVITY ANALYSIS","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FPInnovations","keywords":"Cross laminated timber; Stiffness; Orthotropic material; Structural engineering; Parametric statistics; Sensitivity (control systems); Finite element method; Plane (geometry); Engineering; Materials science; Mathematics; Geometry; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961667,0.0007183799,0.0004969346,0.0006351026,0.0002337593,0.000470235,0.000546454,0.001136784,0.001590529],"category_scores_gemma":[0.001199515,0.0003842882,0.0008080655,0.0003508277,0.0004087751,0.0004170447,0.0005187451,0.0004908747,0.000270114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421059,"about_ca_system_score_gemma":0.000278989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003500688,"about_ca_topic_score_gemma":0.002747364,"domain_scores_codex":[0.9996724,0.0001146882,0.0000133654,0.00004727939,0.0001090893,0.00004323215],"domain_scores_gemma":[0.9990731,0.0006202714,0.0001040401,0.00007259328,0.0001089213,0.00002094688],"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":[0.00009184636,0.00008078997,0.002292754,0.00007534404,0.00002773614,0.0001371104,0.00003477127,0.9783311,0.0118994,0.0004433055,0.0001725267,0.00641342],"study_design_scores_gemma":[0.000002807809,0.0000632219,0.00078222,0.000005700312,0.000005490848,0.00001892971,0.000009531399,0.9954782,0.003425816,0.0001080619,0.00009401485,0.000006055083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371545,0.0002738256,0.1526312,0.00011522,0.00002524346,0.0001141405,0.0004838461,0.0005837425,0.008618299],"genre_scores_gemma":[0.9901569,0.00006891121,0.0086292,0.000009462889,0.00000435964,0.00004609243,0.000116571,0.00001948721,0.0009490414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003500688,"threshold_uncertainty_score":0.00696063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482688272493491,"score_gpt":0.252862978625904,"score_spread":0.2180360959009691,"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."}}