{"id":"W2980819542","doi":"","title":"Minimum detectable damage for stochastic subspace-based methods","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subspace topology; Computer science; Stochastic process; Mathematical optimization; Mathematics; Artificial intelligence; Statistics","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":[0.001846813,0.0009189607,0.001082627,0.0007117433,0.000329773,0.0009262039,0.0007828313,0.001299892,0.002032231],"category_scores_gemma":[0.0107217,0.0004973586,0.0007037243,0.0005118628,0.001375032,0.001187234,0.002043849,0.0016591,0.0002738344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294124,"about_ca_system_score_gemma":0.0008764308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378857,"about_ca_topic_score_gemma":0.001216119,"domain_scores_codex":[0.9988835,0.0004946009,0.0000463309,0.0001423333,0.0003806051,0.00005266873],"domain_scores_gemma":[0.9937027,0.004766105,0.0004074938,0.0003453368,0.0005816596,0.0001968554],"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":[0.0001451523,0.00005704187,0.0005559634,0.0002859658,0.00008102584,0.00005627717,0.0001305755,0.8384557,0.008815918,0.08061292,0.001230171,0.06957326],"study_design_scores_gemma":[0.00000244673,0.00001618087,0.00008253114,0.000008103489,0.000002950695,0.00001197086,0.000003577513,0.9831504,0.0004123799,0.0160979,0.0002076367,0.000003856283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008333081,0.0002190928,0.9904613,0.0001209692,0.00001953703,0.0000116443,0.00002475456,0.0000647479,0.0007448847],"genre_scores_gemma":[0.6404682,0.001160308,0.3476859,0.0001743839,0.0001926153,0.0002385004,0.000323709,0.0002545731,0.009501828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002032231,"threshold_uncertainty_score":0.009767056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503513476475146,"score_gpt":0.2998845068229678,"score_spread":0.2748493720582164,"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."}}