{"id":"W4411125679","doi":"10.1016/j.jobe.2025.113133","title":"Enhancing design and behavioral understanding of steel fiber-reinforced concrete flat slabs through a robust machine learning framework","year":2025,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Structural engineering; Fiber; Materials science; Engineering; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008215308,0.0002959879,0.0006273983,0.0004656806,0.00008084066,0.00009484516,0.0001919906,0.0001691846,0.0000436872],"category_scores_gemma":[0.0002713233,0.00030328,0.000102838,0.0004666785,0.00003807745,0.0004930138,0.00008046848,0.000608971,6.078473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297683,"about_ca_system_score_gemma":0.00004357169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006335694,"about_ca_topic_score_gemma":1.150153e-7,"domain_scores_codex":[0.9982333,0.00003600942,0.0009729316,0.00013188,0.0002671154,0.0003587689],"domain_scores_gemma":[0.9989387,0.0004156406,0.000307505,0.0001380241,0.000140134,0.00005994109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002407054,1.428223e-7,0.00002472848,0.0002754779,0.0001218002,0.000009642295,0.000306855,0.4890943,0.5053616,0.004721378,0.00001638362,0.00004363036],"study_design_scores_gemma":[0.0006760657,0.0001594023,0.00000813842,0.002223716,0.0001090963,0.00003790786,0.0001969566,0.3513687,0.6444236,0.0000839564,0.000425249,0.0002872204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3183016,0.0004998477,0.6803815,0.00001095472,0.0004790385,0.0001285058,0.000001840063,0.00008432786,0.0001124122],"genre_scores_gemma":[0.83939,0.000141934,0.1602532,0.000009223299,0.00008656053,0.000003424274,0.000001394462,0.00005085766,0.00006339408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5210884,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158338779332277,"score_gpt":0.2634410464211464,"score_spread":0.2318576586278236,"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."}}