{"id":"W2115816505","doi":"10.1117/12.383159","title":"<title>Stochastic modeling and stability of suspension bridges</title>","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Suspension (topology); Stability (learning theory); Lyapunov function; Stability theory; Deck; Mechanics; Control theory (sociology); Kinetic energy; Physics; Structural engineering; Classical mechanics; Engineering; Mathematics; Computer science","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":[0.0004496415,0.0003855887,0.0005261979,0.0002557495,0.0002682572,0.0007544416,0.000692479,0.0006278794,0.001571986],"category_scores_gemma":[0.001054201,0.0002475992,0.0004282242,0.0002471789,0.0006455972,0.0006731834,0.0006050971,0.0005408257,0.0002947418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647172,"about_ca_system_score_gemma":0.0005649191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004354542,"about_ca_topic_score_gemma":0.002848835,"domain_scores_codex":[0.999787,0.00005802281,0.000007336949,0.00005352086,0.00006206882,0.00003200585],"domain_scores_gemma":[0.9996704,0.0001392099,0.00008730678,0.00001779405,0.00006205388,0.00002317316],"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":[0.0000294821,0.00001294777,0.0004971882,0.00001839547,0.00002030329,0.00005441283,0.0000253858,0.9508286,0.002691423,0.0409122,0.0005503993,0.004359357],"study_design_scores_gemma":[0.00000147683,0.000006517418,0.00008312767,0.000001361421,0.000001425297,0.000003693962,0.000002655368,0.995246,0.0001404928,0.00435206,0.0001586808,0.000002494756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426603,0.0004130326,0.8489987,0.0006732442,0.00007995007,0.00001758509,0.0001438633,0.0001754609,0.006837977],"genre_scores_gemma":[0.9812101,0.0003364596,0.01080531,0.00005894616,0.00007626468,0.00004622018,0.0001629202,0.00005691667,0.00724691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004354542,"threshold_uncertainty_score":0.008658409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111296714987653,"score_gpt":0.2139419238059702,"score_spread":0.2028289566560937,"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."}}