{"id":"W4398232408","doi":"10.1177/13694332241255734","title":"A scientometric analysis of drone-based structural health monitoring and new technologies","year":2024,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Daphne Jackson Trust; Royal Society","keywords":"Drone; Structural health monitoring; Computer science; Engineering; Structural engineering; Systems engineering; Aerospace engineering; Construction engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04164048,0.001295587,0.003225986,0.1473521,0.001873096,0.006621584,0.001527351,0.001224946,0.005891055],"category_scores_gemma":[0.1741053,0.0005959178,0.004995433,0.1850182,0.002127064,0.005420852,0.004842842,0.0009849182,0.0008701261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184081,"about_ca_system_score_gemma":0.01335367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686473,"about_ca_topic_score_gemma":0.01785952,"domain_scores_codex":[0.9585239,0.01527106,0.009061448,0.00273161,0.01337806,0.00103393],"domain_scores_gemma":[0.7985241,0.1384403,0.0207023,0.006964066,0.03413351,0.001235759],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004509628,0.0002268453,0.2180157,0.1775628,0.01327278,0.00128862,0.02063299,0.009636881,0.002086611,0.04507001,0.03110845,0.4806474],"study_design_scores_gemma":[0.0001974824,0.000644028,0.5251411,0.09135854,0.02011904,0.001609967,0.0467766,0.01849469,0.003214007,0.03775292,0.2540652,0.0006264843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4073918,0.2664472,0.07283472,0.01478312,0.0009762821,0.009537748,0.1333859,0.0007552772,0.09388795],"genre_scores_gemma":[0.8606153,0.06944115,0.03240632,0.0009653662,0.0004088623,0.006614057,0.02700604,0.0001411909,0.002401771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9583595,"threshold_uncertainty_score":0.2202185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575059124300022,"score_gpt":0.3335094895195409,"score_spread":0.3177588982765407,"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."}}