{"id":"W1625367050","doi":"10.1002/eqe.2549","title":"A cantilever beam analogy for quantifying higher mode effects in multistorey buildings","year":2015,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Structural engineering; Cantilever; Modal; Modal analysis; Beam (structure); Normal mode; Engineering; Superposition principle; Shear force; Shear (geology); Moment (physics); Bending moment; Spectral acceleration; Geology; Vibration; Finite element method; Materials science; Mathematics; Peak ground acceleration; Physics; Acoustics; Ground motion; Mathematical analysis; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000302077,0.0003043149,0.000113993,0.0004798142,0.0001075284,0.0002597898,0.0003092569,0.0003270208,0.00437487],"category_scores_gemma":[0.0004909107,0.0001468474,0.0002110641,0.0002961304,0.000152947,0.0002993662,0.000330693,0.0002512333,0.0003818168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720706,"about_ca_system_score_gemma":0.0001126376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355581,"about_ca_topic_score_gemma":0.002293606,"domain_scores_codex":[0.9998713,0.00003650726,0.000004749903,0.00002176105,0.00005241446,0.00001330083],"domain_scores_gemma":[0.9998012,0.00009613012,0.00002774955,0.00003079332,0.00003635936,0.000007699454],"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":[0.0001561167,0.0001311691,0.01953263,0.0002080699,0.00005623787,0.0002444609,0.0005461014,0.3039304,0.4915176,0.01649505,0.0009227188,0.1662595],"study_design_scores_gemma":[0.00001107902,0.0002168199,0.04456881,0.00003820917,0.00002474073,0.000138819,0.0002030322,0.9095245,0.03915572,0.003165614,0.002922766,0.0000298701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4887816,0.0001861534,0.499491,0.00003576642,0.00001725671,0.00007296717,0.0002282875,0.0002902358,0.01089675],"genre_scores_gemma":[0.9533313,0.00006820438,0.04536706,0.0000168469,0.000003759557,0.00005546611,0.00005825173,0.00001977437,0.001079424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00437487,"threshold_uncertainty_score":0.01463538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257589456957926,"score_gpt":0.2374371163158936,"score_spread":0.2248612217463143,"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."}}