{"id":"W7045259518","doi":"","title":"Analytically Tractable Bayesian Recurrent Neural Networks with Structural Health Monitoring Applications","year":2024,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Bayesian network; Kalman filter; Statistical analysis; Bayesian probability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001933995,0.0008532904,0.001122449,0.0006953425,0.000418069,0.001070016,0.001621305,0.001872911,0.005210917],"category_scores_gemma":[0.01094847,0.0007482658,0.0007424066,0.0006874818,0.0007118949,0.001503637,0.001486957,0.001916236,0.000591141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718042,"about_ca_system_score_gemma":0.001380227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054927,"about_ca_topic_score_gemma":0.01940134,"domain_scores_codex":[0.9995211,0.0001894313,0.0000260353,0.0001003393,0.00009178559,0.0000713192],"domain_scores_gemma":[0.9955543,0.003480571,0.0003038445,0.0001407179,0.0004147655,0.0001057936],"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":[0.00008903688,0.00003232048,0.0008713225,0.00005066496,0.0000211995,0.00007511075,0.00003430387,0.9605001,0.0003332066,0.01552937,0.0008101355,0.0216533],"study_design_scores_gemma":[0.000002933107,0.000003225673,0.00005200797,0.000002831277,0.000002048934,0.000003848696,0.000001985791,0.9966709,0.00004391455,0.003139626,0.00007517685,0.000001421618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1039212,0.001857679,0.8769192,0.002245967,0.0001284336,0.00009220091,0.0006050828,0.001109708,0.01312055],"genre_scores_gemma":[0.912226,0.0006295177,0.07572256,0.0001691359,0.0001318724,0.0001505585,0.000548074,0.00009326499,0.01032912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02054927,"threshold_uncertainty_score":0.04085934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092101193399475,"score_gpt":0.2648947086022972,"score_spread":0.2539736966683025,"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."}}