{"id":"W4389048940","doi":"10.1080/09613218.2023.2284983","title":"Damage assessment automation for single storey detached masonry houses: a probabilistic approach","year":2023,"lang":"en","type":"article","venue":"Building Research & Information","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Masonry; Retrofitting; Probabilistic logic; Scope (computer science); Bayesian network; Computer science; Maximization; Sample (material); Engineering; Architectural engineering; Operations research; Construction engineering; Civil engineering; Artificial intelligence; Structural engineering; Mathematics","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":[0.001583685,0.0006505942,0.000721863,0.002086699,0.0004424506,0.001083005,0.001168019,0.00074236,0.001172309],"category_scores_gemma":[0.004477147,0.0005908498,0.0009178878,0.000999455,0.0005032154,0.001361231,0.001227049,0.000622412,0.0003450711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007339949,"about_ca_system_score_gemma":0.0008587255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006936996,"about_ca_topic_score_gemma":0.01058416,"domain_scores_codex":[0.9987697,0.0003609665,0.00008312465,0.0003322222,0.0003624965,0.00009148893],"domain_scores_gemma":[0.9980668,0.0009986355,0.0003438318,0.000191556,0.0003346219,0.00006459261],"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":[0.00008174812,0.0001071189,0.01459845,0.0001586091,0.00008268839,0.0001799532,0.0002414338,0.8089999,0.005717442,0.006057487,0.0007062994,0.163069],"study_design_scores_gemma":[0.000002265142,0.00002642353,0.003001651,0.000008722533,0.00001278497,0.00007978742,0.00003111814,0.9924282,0.000532782,0.00355005,0.0003157827,0.0000103257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02757361,0.0001275497,0.9708436,0.00008452437,0.000006701215,0.0000569593,0.0001106819,0.0003350777,0.0008612709],"genre_scores_gemma":[0.8129702,0.0003240209,0.1846122,0.00003367237,0.00003067855,0.0001196465,0.0003699087,0.00004911136,0.001490635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006936996,"threshold_uncertainty_score":0.01379323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147513881469339,"score_gpt":0.341840116035516,"score_spread":0.2903649772208226,"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."}}