{"id":"W3153244828","doi":"10.31237/osf.io/zbyue","title":"Towards Multiclass Damage Detection and Localization using Limited Vibration Measurements","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Middlesex London Health Unit","funders":"","keywords":"Vibration; Computer science; Artificial intelligence; Acoustics; Physics","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":[0.0001372156,0.0002231554,0.0001992034,0.0001486566,0.00007731462,0.0001437237,0.00007372281,0.0003555875,0.00001123824],"category_scores_gemma":[0.00005316911,0.000245169,0.00003222886,0.0001418093,0.00001532029,0.0001689884,0.0001469708,0.0003117606,4.453979e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540815,"about_ca_system_score_gemma":0.00003585543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004485321,"about_ca_topic_score_gemma":0.00009415452,"domain_scores_codex":[0.9989679,0.0000561642,0.0002933939,0.0002733967,0.0002366189,0.0001725413],"domain_scores_gemma":[0.9994454,0.0000121963,0.00005921084,0.0002516474,0.0001619589,0.00006954555],"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":[0.00002455082,0.00002313028,0.006781048,0.003898064,0.0001778183,0.000008566169,0.001183409,0.5340838,0.2138111,0.00001585503,0.00003855399,0.239954],"study_design_scores_gemma":[0.00008728276,0.00000909604,0.02245642,0.0001974714,0.0000258679,0.000003246689,0.00003532986,0.7824724,0.1943973,0.000104795,0.00001367009,0.0001970924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6642079,0.0001229662,0.3332905,0.00000538019,0.001056905,0.0002977852,0.000001988349,0.0008924188,0.0001241748],"genre_scores_gemma":[0.953043,0.0001054274,0.04655615,0.0000189997,0.000162802,0.00002654898,0.00003593356,0.00004824021,0.000002895453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2888351,"threshold_uncertainty_score":0.9997699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07671761596661371,"score_gpt":0.3118686214345148,"score_spread":0.2351510054679011,"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."}}