{"id":"W2907812881","doi":"10.1016/j.istruc.2019.01.001","title":"A finite element based approach for fatigue life prediction of headed shear studs","year":2019,"lang":"en","type":"article","venue":"Structures","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Structural engineering; Eurocode; Finite element method; Engineering; Shear (geology); Materials science; Composite material","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":[0.00007316869,0.0001654772,0.0002769927,0.000143467,0.00003464118,0.00001953721,0.0001460684,0.00008577098,0.0001405611],"category_scores_gemma":[0.0000582963,0.0001445245,0.000129137,0.0001965899,0.00002216735,0.00005157881,0.00001668507,0.0001113921,0.000001576911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004443626,"about_ca_system_score_gemma":0.00001992421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003236133,"about_ca_topic_score_gemma":0.000001520785,"domain_scores_codex":[0.999042,0.00001905468,0.0002816169,0.0002080616,0.0002359584,0.0002133476],"domain_scores_gemma":[0.9994555,0.00006961972,0.00005329078,0.0003029282,0.00005444219,0.00006426363],"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":[0.00003445386,0.000006171414,0.005134596,0.0003875967,0.0002430583,1.049274e-7,0.0001985094,0.9240363,0.06864884,0.0003419536,0.0004592561,0.0005091847],"study_design_scores_gemma":[0.001037215,0.0001213559,0.04579258,0.00002032901,0.0001126886,5.661892e-7,0.000181155,0.8215528,0.1302205,0.0004094243,0.0003524572,0.0001990482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117357,0.0002456676,0.08489958,0.00002934521,0.0004900312,0.0008473392,0.0002911425,0.0003206241,0.001140564],"genre_scores_gemma":[0.9830552,0.000002401574,0.01658269,0.00002860356,0.00009860477,0.00003483854,0.0001336671,0.00002999865,0.00003403883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024835,"threshold_uncertainty_score":0.5893538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264484861379751,"score_gpt":0.2368932305111795,"score_spread":0.214248381897382,"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."}}