{"id":"W4398222772","doi":"10.3390/s24113287","title":"Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review","year":2024,"lang":"en","type":"review","venue":"Sensors","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Bridge (graph theory); Structural health monitoring; Engineering; Computer science; Systems engineering; Forensic engineering; Medicine; Structural engineering; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0009026461,0.0008677569,0.001156201,0.004279108,0.0004099018,0.001402675,0.0007795525,0.001359843,0.006790614],"category_scores_gemma":[0.002144431,0.0003873055,0.001002456,0.003893121,0.0003867453,0.002102112,0.0007973512,0.001121691,0.001774581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161072,"about_ca_system_score_gemma":0.002178761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484547,"about_ca_topic_score_gemma":0.003786855,"domain_scores_codex":[0.9996266,0.0000802544,0.0000792104,0.00007553049,0.0001121473,0.00002615871],"domain_scores_gemma":[0.9984523,0.001008663,0.0001385936,0.0000231323,0.0003315397,0.00004589751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006209571,0.00006926339,0.0004375605,0.09389623,0.0001454052,0.0002772351,0.0002512597,0.000364389,0.001220192,0.004802496,0.02992664,0.8685473],"study_design_scores_gemma":[0.00001277876,0.0001525444,0.001961811,0.03685535,0.000475785,0.001376012,0.000278599,0.00017192,0.0004924825,0.001544394,0.9566401,0.0000380618],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001674247,0.998032,0.0001401233,0.0003431056,0.0001843602,0.00001150218,0.00004546728,0.000005653884,0.001070338],"genre_scores_gemma":[0.0007739805,0.9982454,0.000222651,0.0002044045,0.0001412819,0.00001223973,0.00004684989,0.00000143175,0.0003517591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006790614,"threshold_uncertainty_score":0.02271682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04146903739289193,"score_gpt":0.3823358856127362,"score_spread":0.3408668482198443,"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."}}