{"id":"W4288057911","doi":"10.1016/j.conbuildmat.2022.128570","title":"Condition assessment of ASR-affected reinforced concrete columns after nearly 20 years in service","year":2022,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Ottawa","funders":"","keywords":"Cracking; Visual inspection; Forensic engineering; Petrography; Cement; Geotechnical engineering; Materials science; Composite material; Structural engineering; Geology; Engineering; Computer science; Mineralogy; Artificial intelligence","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":[0.0003061771,0.0002277291,0.0003824063,0.0007473218,0.0005378367,0.0004024919,0.000302174,0.0006390754,0.001914791],"category_scores_gemma":[0.0004084876,0.0001276993,0.0003518451,0.000415146,0.0002939939,0.0002702044,0.0002815175,0.0002601693,0.0006107291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005075831,"about_ca_system_score_gemma":0.0002657712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0167747,"about_ca_topic_score_gemma":0.03572742,"domain_scores_codex":[0.9997531,0.00001641469,0.00001477726,0.00006348395,0.00009450722,0.00005776725],"domain_scores_gemma":[0.9996204,0.00002961581,0.00007926273,0.00002114387,0.000200932,0.00004862848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003372601,0.0006113718,0.4779556,0.0001464027,0.0001552634,0.001979927,0.001208834,0.008828548,0.4722683,0.0002373117,0.0009600685,0.03227583],"study_design_scores_gemma":[0.00001051688,0.001103118,0.9427639,0.000008475937,0.00007506668,0.0003873649,0.0006839624,0.004969094,0.0484052,0.00004092436,0.001523198,0.00002912302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985851,0.0000567199,0.0002032415,0.000005505868,0.000004716079,0.000008208815,0.0003875567,0.00001676522,0.0007321552],"genre_scores_gemma":[0.9983821,0.00002261044,0.0001292283,0.000004560729,0.000001844178,0.000004019287,0.0003737201,0.000004155947,0.001077785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167747,"threshold_uncertainty_score":0.0333541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005592818622064779,"score_gpt":0.2272487010389063,"score_spread":0.2216558824168415,"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."}}