{"id":"W4411921511","doi":"10.1016/j.cscm.2025.e05005","title":"Machine learning-based prediction of crack width and bond-dependent coefficient (kb) in GFRP-reinforced concrete beams","year":2025,"lang":"en","type":"article","venue":"Case Studies in Construction Materials","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fibre-reinforced plastic; Reinforced concrete; Structural engineering; Materials science; Bond; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003064962,0.0001717413,0.0003814088,0.00026156,0.0000626852,0.0000202952,0.00003998392,0.00008807989,0.00002065192],"category_scores_gemma":[0.0001482715,0.0001668997,0.00002270622,0.0001859496,0.0002237132,0.00007550812,0.00005153153,0.0001376861,7.921734e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296583,"about_ca_system_score_gemma":0.00002072146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005154939,"about_ca_topic_score_gemma":0.00001132767,"domain_scores_codex":[0.9989522,0.00004621785,0.0005313869,0.0001790232,0.00009131656,0.0001998919],"domain_scores_gemma":[0.9996132,0.00008105735,0.00008681641,0.0001194422,0.00007789529,0.00002156938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004377159,0.000007199742,0.01706599,0.002577842,0.0003308501,0.0007591324,0.002577929,0.7083394,0.255221,0.002755724,0.0002300376,0.009697155],"study_design_scores_gemma":[0.005804232,0.0002105877,0.001599017,0.001611892,0.000115686,0.0009669953,0.00745353,0.05354567,0.9270051,0.000377098,0.0007584547,0.0005518099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935066,0.0007391844,0.001605041,0.00001219295,0.003352502,0.0002908778,0.00007162912,0.00008998732,0.0003320097],"genre_scores_gemma":[0.9987525,0.0003003121,0.0007778456,0.00001231567,0.00006232214,0.00003872274,0.0000121514,0.00001251256,0.0000313054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.671784,"threshold_uncertainty_score":0.6805972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102514308533961,"score_gpt":0.2505235842190587,"score_spread":0.2402721533656626,"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."}}