{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076816,0.0005462742,0.0006422551,0.0008674146,0.0004428312,0.000453478,0.001265914,0.001571426,0.002896051],"category_scores_gemma":[0.0006676122,0.0006136631,0.0005564762,0.0004157511,0.0003830087,0.0004831614,0.000390134,0.0005068671,0.0007866945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018527,"about_ca_system_score_gemma":0.0005528068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382834,"about_ca_topic_score_gemma":0.004803521,"domain_scores_codex":[0.9999219,0.00001457779,0.000005025532,0.00001247926,0.00003825213,0.000007759698],"domain_scores_gemma":[0.999768,0.00009804688,0.00002078595,0.00002314278,0.00007857406,0.00001156779],"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":[0.00001812244,0.00005405153,0.0004233774,0.00004152844,0.00001419103,0.00005475119,0.00002984275,0.9693075,0.01020274,0.001664268,0.0002301943,0.01795935],"study_design_scores_gemma":[9.223878e-7,0.000008971061,0.00008393217,0.00000264706,0.000002248687,0.000005878106,0.000003312794,0.9992367,0.0003668755,0.0001745768,0.0001123873,0.000001660167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0545219,0.0002036788,0.9402868,0.00005817092,0.00003045888,0.0000675511,0.0001368714,0.0005798929,0.004114727],"genre_scores_gemma":[0.7863304,0.0003939729,0.2059133,0.00007594789,0.00003543102,0.0003372704,0.0003359579,0.0001707414,0.00640701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004382834,"threshold_uncertainty_score":0.009688199,"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."}}