{"id":"W4404682276","doi":"10.1111/mice.13387","title":"Machine learning‐aided prediction of windstorm‐induced vibration responses of long‐span suspension bridges","year":2024,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitacs","funders":"","keywords":"Suspension (topology); Span (engineering); Vibration; Structural engineering; Engineering; Physics; Mathematics; Acoustics","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":[0.0003693181,0.0004871371,0.0003515985,0.0004288617,0.0001503478,0.0002717551,0.0003608005,0.0004305684,0.0006308567],"category_scores_gemma":[0.001036082,0.0001568828,0.000306286,0.0002473364,0.0001396305,0.0004173022,0.0002493098,0.0004625796,0.0002607594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383666,"about_ca_system_score_gemma":0.000326706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002082994,"about_ca_topic_score_gemma":0.002872981,"domain_scores_codex":[0.9998851,0.00002147569,0.000006059806,0.00003305601,0.00004069908,0.00001370313],"domain_scores_gemma":[0.9997231,0.0001087525,0.00004636135,0.00003119258,0.00008100065,0.000009488906],"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":[0.0001036899,0.0001200224,0.01027564,0.00006366223,0.00004471515,0.0000772904,0.00005145563,0.8000813,0.02414766,0.0006508573,0.0007159488,0.1636677],"study_design_scores_gemma":[8.560728e-7,0.00001065725,0.001099552,0.000001303218,0.000001749059,0.000003783797,0.00000314138,0.9975471,0.001213812,0.00006903917,0.00004692414,0.000002021444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3564363,0.0001772327,0.6408809,0.00008020496,0.00004733451,0.0000253492,0.0001052082,0.0009780801,0.001269394],"genre_scores_gemma":[0.9748161,0.00006861854,0.02419631,0.00001244945,0.00001150151,0.00002046039,0.0001495547,0.00002505244,0.0006999467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002082994,"threshold_uncertainty_score":0.004141748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006619984485209291,"score_gpt":0.1913654785469931,"score_spread":0.1847454940617838,"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."}}