{"id":"W4407098760","doi":"10.1016/j.heliyon.2025.e42440","title":"Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach","year":2025,"lang":"en","type":"article","venue":"Heliyon","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Mehran University of Engineering and Technology","keywords":"Stress (linguistics); Structural engineering; Materials science; Distribution (mathematics); Composite material; Engineering; Computer science; Mathematics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447514,0.0003463601,0.0003976579,0.000635358,0.0002711924,0.0005570427,0.0004974989,0.0008214607,0.0007502439],"category_scores_gemma":[0.002293937,0.0002019709,0.0003416585,0.0004504437,0.0005956179,0.0007504945,0.0001918774,0.0004052352,0.0001092664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466364,"about_ca_system_score_gemma":0.0002612013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081298,"about_ca_topic_score_gemma":0.001783859,"domain_scores_codex":[0.9997112,0.00006669368,0.00001400101,0.00007192193,0.0001064518,0.00002977678],"domain_scores_gemma":[0.9987594,0.0007299859,0.0001849402,0.0001035879,0.0001910585,0.00003103758],"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":[0.00008189504,0.0001787993,0.01280636,0.0001273001,0.00004560937,0.0001635775,0.00015362,0.8795799,0.04440873,0.003960717,0.0002718884,0.05822159],"study_design_scores_gemma":[7.004029e-7,0.00001378381,0.001370217,0.000002913374,0.00000159075,0.00001260507,0.00001221377,0.99647,0.001764844,0.0002908538,0.00005617944,0.000004134031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508586,0.0006491349,0.3444803,0.0003784823,0.00004182499,0.00003287223,0.00007357293,0.0002673956,0.003217856],"genre_scores_gemma":[0.9742052,0.0001373294,0.02480704,0.0000217884,0.00001339929,0.00001989842,0.00004268648,0.00002480103,0.0007278844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002081298,"threshold_uncertainty_score":0.00413835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378877345710466,"score_gpt":0.2480801468732302,"score_spread":0.2342913734161255,"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."}}