{"id":"W2607466176","doi":"10.1002/eqe.2898","title":"Earthquake‐induced loss assessment of steel frame buildings with special moment frames designed in highly seismic regions","year":2017,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; École Polytechnique Fédérale de Lausanne","keywords":"Structural engineering; Demolition; Framing (construction); Beam (structure); Seismic analysis; Moment (physics); Frame (networking); Engineering; Geotechnical engineering; Civil engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001558697,0.0004609871,0.000632613,0.0003553549,0.0001741311,0.000156998,0.0005413883,0.0001979018,0.00003029663],"category_scores_gemma":[0.00002454546,0.00043054,0.0001526533,0.0003017058,0.00008963932,0.0005142157,0.0000776578,0.0006477426,0.000004792538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543203,"about_ca_system_score_gemma":0.00006226813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670995,"about_ca_topic_score_gemma":0.0002355577,"domain_scores_codex":[0.9980311,0.00001593443,0.0005376155,0.0003693368,0.0004282239,0.0006177926],"domain_scores_gemma":[0.9987764,0.00005083748,0.0001780884,0.0007882227,0.00006880911,0.000137651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002659246,0.00002182564,0.02419543,0.0002123384,0.000281382,0.00007263838,0.0004295498,0.8962899,0.00173059,0.003778478,0.00003594235,0.07292526],"study_design_scores_gemma":[0.0005227043,0.00007049805,0.5482319,0.0001438336,0.000035066,0.00001456241,0.00005589984,0.4501028,0.0002196576,0.00006925406,0.000184755,0.0003490615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718174,0.00004117787,0.02668902,0.0001494249,0.0005692181,0.0002413804,0.00003965817,0.0001823745,0.0002703734],"genre_scores_gemma":[0.9936515,0.00007275737,0.005679301,0.00001866813,0.0003506767,0.00002136345,0.00004047159,0.00007870787,0.00008655476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5240365,"threshold_uncertainty_score":0.9998146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006989104914563392,"score_gpt":0.2249895138068714,"score_spread":0.218000408892308,"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."}}