{"id":"W4404198503","doi":"10.1016/j.engstruct.2024.119285","title":"Effect of model architecture and input parameters to improve performance of artificial intelligence models for estimating concrete strength using SonReb","year":2024,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Artificial neural network; Computer science; Structural engineering; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636315,0.0002696541,0.0003424793,0.0002124355,0.00003208975,0.00003810598,0.000125858,0.00009674352,6.393984e-7],"category_scores_gemma":[0.0000800335,0.000235024,0.00007678547,0.0001551233,0.0000339728,0.0001251911,0.00004022106,0.0002235517,6.820382e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004367335,"about_ca_system_score_gemma":0.00001802532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008093041,"about_ca_topic_score_gemma":1.764755e-7,"domain_scores_codex":[0.9989919,0.000006947451,0.0003364156,0.0002248795,0.000130424,0.0003094033],"domain_scores_gemma":[0.9995276,0.0001779952,0.00003364058,0.0001620005,0.00003243099,0.00006632481],"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":[0.00003172555,2.232776e-7,0.000002280837,0.002025203,0.00005002913,6.708038e-7,0.0006392165,0.8478779,0.09415024,0.000940157,0.000002151484,0.05428025],"study_design_scores_gemma":[0.00003603068,0.0001275245,0.000002734721,0.0002755214,0.00003298615,0.000005082016,0.00001021783,0.6643702,0.3343031,0.0006931254,0.000001776647,0.0001417601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5076698,0.0001558584,0.4913722,0.000001391149,0.0004975976,0.0001870254,0.00003018672,0.00008274448,0.000003219805],"genre_scores_gemma":[0.658898,0.000004114901,0.3409284,0.000001853272,0.0001092848,0.00001501517,0.000002200044,0.00004040967,7.300971e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2401529,"threshold_uncertainty_score":0.9584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009815278931708115,"score_gpt":0.2482927391048982,"score_spread":0.2384774601731901,"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."}}