{"id":"W4393159917","doi":"10.1080/15732479.2024.2331103","title":"Detecting, monitoring and modeling damage within the decision-making process in the context of managing bridges: a review","year":2024,"lang":"en","type":"review","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Context (archaeology); Process (computing); Risk analysis (engineering); Engineering; Computer science; Forensic engineering; Business; Geology","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":[0.002075358,0.001016431,0.001648745,0.006580464,0.0004407142,0.002099734,0.00116252,0.001401287,0.003110402],"category_scores_gemma":[0.006807403,0.0004857345,0.001450223,0.00877647,0.0005697075,0.00212396,0.0006849595,0.0009815267,0.000875796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118448,"about_ca_system_score_gemma":0.005474695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005466272,"about_ca_topic_score_gemma":0.0103619,"domain_scores_codex":[0.9989591,0.0002820431,0.0002420151,0.0001567767,0.000312698,0.00004743577],"domain_scores_gemma":[0.9927387,0.005535401,0.0006240089,0.0001166546,0.0008935268,0.00009172771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005224192,0.0001083218,0.0008392527,0.2298097,0.0005511575,0.0001958343,0.0004478091,0.00103139,0.0007048881,0.005649334,0.01266057,0.7479494],"study_design_scores_gemma":[0.00001622562,0.0001843978,0.00425462,0.1275947,0.002513789,0.0009250898,0.0006445274,0.0006221534,0.000805238,0.005040521,0.8573138,0.00008497744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001930992,0.9983961,0.0003393361,0.0002983839,0.00007422159,0.00001304487,0.00004366896,0.000006863494,0.0006351434],"genre_scores_gemma":[0.001314718,0.997879,0.0004922207,0.00008749426,0.00006100795,0.00001242183,0.00003638233,0.00000178286,0.0001149473],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006580464,"threshold_uncertainty_score":0.01097566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009967511599761728,"score_gpt":0.279741211763477,"score_spread":0.2697737001637153,"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."}}