{"id":"W2115816505","doi":"10.1117/12.383159","title":"&lt;title&gt;Stochastic modeling and stability of suspension bridges&lt;/title&gt;","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001395903,0.0001583058,0.0002337885,0.00006045459,0.00002577265,0.00002757782,0.0002097473,0.00009871716,0.0001928354],"category_scores_gemma":[0.00008965147,0.0001385923,0.0002129934,0.0001603321,0.00007548189,0.0001432242,0.00002952114,0.0001326279,0.00000587312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005812353,"about_ca_system_score_gemma":0.000008745856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000295309,"about_ca_topic_score_gemma":9.218864e-8,"domain_scores_codex":[0.9990793,1.095164e-8,0.000332733,0.0001605422,0.0002660439,0.0001613436],"domain_scores_gemma":[0.9994883,0.00003878578,0.00005516743,0.00004209375,0.0003143327,0.0000613127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004699766,0.00004653939,0.00004299773,0.0008901416,0.0005350705,1.184978e-7,0.0002507115,0.07142887,0.6489164,0.2673466,0.004363287,0.006132324],"study_design_scores_gemma":[0.000218928,0.00003555721,0.0000931495,0.00009605963,0.00007436785,0.00000626366,0.00008862762,0.978121,0.01947258,0.0003616216,0.001265689,0.0001661987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910918,0.0001933545,0.0008193658,0.0001417593,0.0001233017,0.0001236673,0.00001981598,0.00009112142,0.007395809],"genre_scores_gemma":[0.987827,0.0001224619,0.01171353,0.000009186918,0.0001211729,0.00001131577,0.00000549841,0.00003244735,0.0001573567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066921,"threshold_uncertainty_score":0.5651628,"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."}}