{"id":"W2272195081","doi":"10.48550/arxiv.1511.02182","title":"Optimizing Damper Connectors for Adjacent Buildings","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Damper; Retrofitting; Control theory (sociology); Heuristic; Mathematical optimization; Convergence (economics); Coupling (piping); Genetic algorithm; Optimization problem; Computer science; Mathematics; Structural engineering; Engineering","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":[0.0006795611,0.001061913,0.000713404,0.0007242758,0.0003203529,0.000820138,0.0005813526,0.001003048,0.003155652],"category_scores_gemma":[0.001497927,0.0005437261,0.0005283698,0.0004692647,0.0004285746,0.0008758729,0.0007983099,0.0007268005,0.0005181126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531049,"about_ca_system_score_gemma":0.0005884795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130981,"about_ca_topic_score_gemma":0.001750743,"domain_scores_codex":[0.9996822,0.00008804108,0.00001230226,0.00007497747,0.00008738086,0.0000551579],"domain_scores_gemma":[0.9996569,0.0001562817,0.00006534984,0.000036388,0.00004915302,0.00003603851],"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":[0.00008055886,0.0001258636,0.0007037182,0.00008517488,0.00001897931,0.00005182036,0.00004404052,0.9442408,0.0194388,0.003414135,0.0002058925,0.03159023],"study_design_scores_gemma":[0.00001651722,0.0001053967,0.0003188085,0.000005319013,0.00001217411,0.00001910923,0.00002364974,0.9934029,0.004158369,0.001368286,0.0005632335,0.000006199685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.177294,0.0003349342,0.8169963,0.00008028407,0.00003157913,0.00007076718,0.00004615883,0.0004614549,0.004684604],"genre_scores_gemma":[0.8258222,0.0001542652,0.1709803,0.00002747087,0.000009814865,0.00007384176,0.00008666088,0.0001244111,0.002720967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003155652,"threshold_uncertainty_score":0.0105567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07353934441508075,"score_gpt":0.1813709711217011,"score_spread":0.1078316267066203,"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."}}