{"id":"W2196293532","doi":"10.1061/(asce)st.1943-541x.0001420","title":"Closure to “Novel Sensor Clustering–Based Approach for Simultaneous Detection of Stiffness and Mass Changes Using Output-Only Data” by Qipei Mei and Mustafa Gül","year":2015,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Closure (psychology); Cluster analysis; Stiffness; Computer science; Mathematics; Materials science; Economics; Artificial intelligence; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002562053,0.000274965,0.0004600887,0.000259981,0.00004594738,0.0000486748,0.0002214055,0.0001460411,2.918504e-7],"category_scores_gemma":[0.0002340648,0.0002515856,0.00003442116,0.0001696952,0.00002349499,0.0002450966,0.00007201618,0.0002686889,1.818761e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179166,"about_ca_system_score_gemma":0.00002897146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002099218,"about_ca_topic_score_gemma":0.000004512961,"domain_scores_codex":[0.9987471,0.0000116185,0.0004587954,0.0002043912,0.0002664089,0.0003116601],"domain_scores_gemma":[0.9990056,0.0001422331,0.0001704934,0.0002157085,0.0001904475,0.0002754796],"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":[0.0001770908,0.000003977527,0.0001344821,0.001376417,0.00006877329,0.000006135288,0.0003151282,0.7157863,0.2487787,0.000002610441,0.00001865514,0.03333179],"study_design_scores_gemma":[0.0009789792,0.0001876209,0.001231273,0.0001704183,0.00006306953,0.0003489489,0.0001849511,0.9782007,0.01806684,0.000008760322,0.0002769159,0.0002814849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790549,0.0006619967,0.3192982,0.00001673771,0.0005369533,0.0002529555,0.00009159122,0.00008592379,8.02996e-7],"genre_scores_gemma":[0.7925047,0.00001468586,0.2070988,0.000006778366,0.0003109279,0.000002837279,0.000006836225,0.00005282633,0.000001678442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2624145,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034199142692161,"score_gpt":0.2897999063300605,"score_spread":0.2394579149031389,"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."}}