{"id":"W3153526116","doi":"10.36001/phmconf.2011.v3i1.1972","title":"Damage Identification in Frame Structures, Using Damage Index, Based on H2-Norm","year":2011,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Norm (philosophy); Frame (networking); Index (typography); Structural engineering; Mathematics; Computer science; Engineering; Political science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002112272,0.0001612302,0.0001723827,0.00004706941,0.00007292392,0.00002230866,0.000485689,0.0001746786,0.00003753727],"category_scores_gemma":[0.00004434668,0.0001336427,0.00009463374,0.0002359745,0.0001057865,0.000195423,0.00006983137,0.0004188449,0.000001275409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451148,"about_ca_system_score_gemma":0.00006193721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006270462,"about_ca_topic_score_gemma":0.00002393009,"domain_scores_codex":[0.9990151,0.00004845017,0.000294511,0.0001720539,0.0002302489,0.0002396412],"domain_scores_gemma":[0.9991918,0.0000440831,0.0001043914,0.0004959435,0.0001184102,0.00004535603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003924199,0.0004880466,0.4962776,0.003940416,0.0003716911,0.00002250283,0.2058225,0.05503795,0.1416501,0.02704167,0.007564045,0.0613911],"study_design_scores_gemma":[0.0002181911,0.0000357448,0.8292352,0.0001644567,0.00001259472,8.786454e-7,0.001007937,0.1119817,0.04984828,0.007226843,0.00004468993,0.0002235091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970911,0.00001252583,0.001568135,0.00003841636,0.0003955163,0.0002361612,0.00004324302,0.0001567341,0.0004582038],"genre_scores_gemma":[0.9956207,0.0000104457,0.004213907,0.00005828539,0.00004632957,0.000009355444,0.000004627835,0.00002325928,0.00001314176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3329576,"threshold_uncertainty_score":0.5449789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05580018650298008,"score_gpt":0.2870450512706504,"score_spread":0.2312448647676704,"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."}}