{"id":"W2062744202","doi":"10.1061/(asce)cf.1943-5509.0000519","title":"Predicting the Fundamental Period of Light-Frame Wood Buildings","year":2013,"lang":"en","type":"article","venue":"Journal of Performance of Constructed Facilities","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deflection (physics); Building code; Structural engineering; Shear wall; Stiffness; Vibration; Ambient vibration; Seismic analysis; Shear (geology); Building model; Engineering; Geotechnical engineering; Geology; Finite element method; Simulation; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001498583,0.000198486,0.0001051783,0.0003045172,0.0002011067,0.0002563059,0.0002725589,0.0002008429,0.0004850513],"category_scores_gemma":[0.0007016076,0.0001321377,0.000105289,0.0001529411,0.0001484156,0.0002463622,0.0001413256,0.0001830312,0.0001289649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007579886,"about_ca_system_score_gemma":0.0005768404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114582,"about_ca_topic_score_gemma":0.0357282,"domain_scores_codex":[0.9999355,0.000006571656,0.000001482997,0.00001267769,0.0000268518,0.00001701686],"domain_scores_gemma":[0.9997877,0.00008786668,0.00004088406,0.00001661371,0.00004759139,0.00001935376],"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":[0.0002737661,0.0001135746,0.1296799,0.00009266858,0.00001227243,0.0001295393,0.0003680227,0.6630423,0.0847222,0.003142872,0.000693946,0.117729],"study_design_scores_gemma":[0.000004612503,0.0000412193,0.04085165,0.000005492171,0.000005239806,0.00002754738,0.00006362799,0.9478303,0.01021581,0.0003557401,0.0005880669,0.00001062538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565086,0.00004413511,0.0416906,0.00001228348,0.000004096971,0.00001137282,0.00009905901,0.00009100922,0.001538785],"genre_scores_gemma":[0.995355,0.00001426341,0.004380915,0.000001099399,8.804027e-7,0.000003296711,0.00005752848,0.000009822957,0.0001772562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114582,"threshold_uncertainty_score":0.04204547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008452394970792539,"score_gpt":0.2189450856518957,"score_spread":0.2104926906811032,"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."}}