{"id":"W4415183442","doi":"10.1007/978-3-031-96767-2_22","title":"An Autonomous Structural Health Monitoring Strategy Utilizing Building Information Modeling Integrated with Internet-of-Things Data","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Structural health monitoring; Workflow; Cloud computing; Scripting language; Big data; Automation; Interface (matter); Leverage (statistics); Scalability; Python (programming language)","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":[0.0003214704,0.0006477776,0.0007772279,0.0008512795,0.00005111444,0.0001391807,0.0006245507,0.0004766682,0.00001585974],"category_scores_gemma":[0.0000634137,0.0006484668,0.00007191645,0.0002304286,0.0000184266,0.001094554,0.0001011523,0.001417805,0.000001401522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006188999,"about_ca_system_score_gemma":0.0001575392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006049431,"about_ca_topic_score_gemma":0.0003446231,"domain_scores_codex":[0.9977802,0.00001641403,0.001024307,0.0004191767,0.0003079775,0.0004519487],"domain_scores_gemma":[0.9987123,0.0001042846,0.0001919314,0.0007790771,0.00009803964,0.000114365],"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":[0.00001388502,0.000001662618,0.00002091475,0.001094098,0.00009847787,0.000004491566,0.0008482541,0.919702,0.0001997276,0.0005164703,0.000003073606,0.07749698],"study_design_scores_gemma":[0.0002534389,0.00007333133,0.000009966533,0.003609719,0.00002380296,0.0000260436,0.00002829652,0.9940182,0.0004685929,0.0001568253,0.000837164,0.0004946081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00214839,0.00172169,0.9907129,0.00001287733,0.001305824,0.0004375979,0.00005033064,0.0008261587,0.00278428],"genre_scores_gemma":[0.9879941,0.00009433377,0.01123895,0.00001524485,0.0001492602,0.0000110644,0.00031463,0.0001195064,0.00006290919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9858457,"threshold_uncertainty_score":0.9995967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855147666532287,"score_gpt":0.2423577295398016,"score_spread":0.2238062528744788,"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."}}