{"id":"W4308303594","doi":"10.1177/87552930221132862","title":"Steel flexure and shear yielding base‐mechanism for enhanced seismic resilience of RC core wall high‐rise structures","year":2022,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Engineering; Induced seismicity; Mode (computer interface); Seismic hazard; Structural system; Resilience (materials science); Civil engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001413261,0.0001744801,0.0002765966,0.0001507286,0.0001889242,0.00002099566,0.0001782572,0.00005217513,0.0003353004],"category_scores_gemma":[0.00001582211,0.0001814602,0.00009178464,0.0002509141,0.00003547452,0.0001146825,0.00004406011,0.0002282587,0.000003049952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004011278,"about_ca_system_score_gemma":0.00002402254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004977908,"about_ca_topic_score_gemma":0.00001746206,"domain_scores_codex":[0.9989353,0.00001420032,0.0002534225,0.0002581949,0.0002278924,0.0003109815],"domain_scores_gemma":[0.9995417,0.00005273499,0.00005675832,0.0002528155,0.00002981929,0.00006616511],"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":[0.000111359,0.00004087812,0.0002363724,0.0003636313,0.0002083859,0.0000179254,0.0023238,0.4650671,0.4934222,0.01261667,0.001838848,0.02375286],"study_design_scores_gemma":[0.001235917,0.0004301854,0.006458557,0.00005340111,0.0001239327,0.00002640227,0.001712339,0.4956678,0.4796562,0.01164769,0.002363136,0.000624397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873229,0.0003638645,0.01135151,0.0001167928,0.0001935101,0.0001934245,0.00007600996,0.0001148911,0.0002670969],"genre_scores_gemma":[0.9969095,0.0001199382,0.002320498,0.0001701216,0.00009352661,0.00003568213,0.00002040435,0.00003071618,0.0002996355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03060072,"threshold_uncertainty_score":0.7399733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009983097098087156,"score_gpt":0.2131402671390943,"score_spread":0.2031571700410071,"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."}}