{"id":"W4206926028","doi":"10.32920/16847668","title":"Simplified Approach of Seismic Analysis Using a Planar Linear Elastic Model for an Office Building with no Regularity in Plan in Comparison to a Spatial Model According to Finite Element Software","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Eurocode; Software; Plan (archaeology); Finite element method; Moment (physics); Earthquake resistance; Planar; Distribution (mathematics); Computer science; Structural engineering; Bracing; Mathematics; Engineering; Geology; Mathematical analysis; Physics; Programming language; Computer graphics (images); Brace","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":[0.0001860799,0.0004648381,0.0004491131,0.0006359199,0.0001787837,0.000716629,0.001099722,0.0006883633,0.008697593],"category_scores_gemma":[0.0005037538,0.0003353348,0.0008525935,0.0004735752,0.0002467372,0.000485141,0.0005559402,0.000437024,0.00324642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417567,"about_ca_system_score_gemma":0.0006095137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005109137,"about_ca_topic_score_gemma":0.0044343,"domain_scores_codex":[0.9997272,0.00005273761,0.00001611504,0.00003758535,0.0001498014,0.00001660745],"domain_scores_gemma":[0.9998283,0.00004622883,0.00001511991,0.00004431678,0.00005903618,0.000006957041],"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":[0.00003788713,0.00004766653,0.0007863234,0.0002092594,0.00003419085,0.0001548626,0.0001465601,0.8862869,0.01979014,0.0269338,0.002942551,0.06262995],"study_design_scores_gemma":[0.000007810127,0.0000332571,0.0005282703,0.00002279403,0.00001654701,0.0001020413,0.00004399543,0.9768842,0.002745717,0.003345464,0.01625697,0.00001293514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01576286,0.0001369894,0.9661688,0.0001010179,0.00003833723,0.00005867311,0.0005732481,0.0009916156,0.01616856],"genre_scores_gemma":[0.5230311,0.001168329,0.4373497,0.0001410913,0.00008986965,0.0003966513,0.002696996,0.001055336,0.03407095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008697593,"threshold_uncertainty_score":0.02909636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014278100378786,"score_gpt":0.3041302202451481,"score_spread":0.2439874392413603,"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."}}