{"id":"W3000725252","doi":"10.1016/j.soildyn.2019.106024","title":"Optimal intensity measures for probabilistic seismic demand models of a cable-stayed bridge based on generalized linear regression models","year":2020,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"China Scholarship Council; Tongji University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Polynomial regression; Ordinary least squares; Regression analysis; Linear regression; Mathematics; Structural engineering; Engineering; Statistics","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":[0.004917741,0.001609186,0.002413268,0.001262304,0.0004454345,0.00192886,0.002536929,0.002514264,0.002458641],"category_scores_gemma":[0.01128397,0.001799534,0.001670446,0.001108999,0.002102348,0.002380593,0.001683071,0.002102261,0.0003499919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002878116,"about_ca_system_score_gemma":0.002123217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400807,"about_ca_topic_score_gemma":0.01094861,"domain_scores_codex":[0.9982632,0.0009469097,0.0000720965,0.0003067869,0.000167415,0.0002435937],"domain_scores_gemma":[0.9921943,0.00605652,0.0008003887,0.0001675466,0.0005408531,0.0002403494],"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":[0.00002271133,0.00001427482,0.0001457704,0.00001636504,0.00001616719,0.000009819936,0.00001806673,0.9912302,0.0001758802,0.006972359,0.00008289259,0.001295446],"study_design_scores_gemma":[0.000003041094,0.000005512979,0.00005520552,0.000002145455,0.000004692339,0.000001300932,0.00000354942,0.9977744,0.00004061538,0.002083941,0.00002111135,0.000004342558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08260543,0.0002502093,0.9144909,0.0005075422,0.00002277064,0.00005464237,0.000195546,0.0002057402,0.001667217],"genre_scores_gemma":[0.9603729,0.0003732455,0.03336992,0.0001094585,0.00004776567,0.0002213238,0.0004165104,0.00016149,0.004927417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01400807,"threshold_uncertainty_score":0.02785307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194178107230244,"score_gpt":0.2067847349160364,"score_spread":0.187366924193012,"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."}}