{"id":"W3184665790","doi":"10.1109/temscon-eur52034.2021.9488617","title":"A Markerless High Resolution Structural Health Monitoring Framework for Smart Cities","year":2021,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart phone; Computer science; Structural health monitoring; Corporate governance; Smart city; Smart camera; Internet of Things; Real-time computing; Artificial intelligence; Computer security; Engineering; Telecommunications; Business","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":[0.0006572918,0.0007088141,0.0006000824,0.001091128,0.0004465778,0.001201357,0.001759532,0.001082021,0.001537866],"category_scores_gemma":[0.00123823,0.0004234738,0.0009025158,0.0007226694,0.0007729899,0.001544272,0.001740635,0.001126332,0.0005576725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007325903,"about_ca_system_score_gemma":0.0008672146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009920987,"about_ca_topic_score_gemma":0.0104536,"domain_scores_codex":[0.9995407,0.00008949336,0.00001954617,0.0001457855,0.0001479887,0.00005656195],"domain_scores_gemma":[0.9996819,0.00005867899,0.00006198174,0.00006490032,0.0000944858,0.00003801499],"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":[0.00008946838,0.000131689,0.003265087,0.0001540815,0.0000799894,0.0004060249,0.000399841,0.6812663,0.02287306,0.0889691,0.005094967,0.1972704],"study_design_scores_gemma":[0.000004155758,0.00002058666,0.0004026532,0.000008334539,0.000009417845,0.00005850811,0.00003314405,0.9853761,0.001738648,0.009001509,0.003333166,0.00001390001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002477913,0.00006629425,0.9962326,0.00006454662,0.00001043364,0.00001870181,0.00005737863,0.000530572,0.0005416308],"genre_scores_gemma":[0.2681979,0.0002967243,0.7280008,0.0001041227,0.0000518907,0.0001130921,0.0004970517,0.0001282689,0.002610174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009920987,"threshold_uncertainty_score":0.01972646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310024283955494,"score_gpt":0.3212766264779944,"score_spread":0.290274198082445,"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."}}