{"id":"W2329619280","doi":"10.1115/pvp2008-61171","title":"Simplified Limit Load Determination Using the mα-Tangent Method","year":2008,"lang":"en","type":"article","venue":"Volume 2: Computer Applications/Technology and Bolted Joints","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Limit load; Finite element method; Tangent; Limit (mathematics); Stress (linguistics); Structural engineering; Field (mathematics); Component (thermodynamics); Limit analysis; Mathematical analysis; Mathematics; Geometry; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004693801,0.0007739872,0.0006326833,0.001890224,0.0003098179,0.0008433549,0.001105215,0.0005092669,0.004833039],"category_scores_gemma":[0.00208712,0.0004389723,0.0003965828,0.0008467977,0.0005553619,0.00120171,0.000758331,0.000472863,0.001779117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328942,"about_ca_system_score_gemma":0.0007013518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143672,"about_ca_topic_score_gemma":0.001896755,"domain_scores_codex":[0.9994557,0.00009958021,0.00003316693,0.00008956243,0.000287896,0.00003408443],"domain_scores_gemma":[0.9992359,0.0001746486,0.0001120512,0.0001582749,0.0002926709,0.00002645182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003114589,0.0001286098,0.003656546,0.0004142593,0.00005574881,0.0004811041,0.0004445736,0.1032754,0.1835384,0.0487578,0.003635574,0.6553005],"study_design_scores_gemma":[0.00002114608,0.0001319765,0.002816597,0.00003701878,0.0000218581,0.0004690364,0.00008151984,0.9286627,0.04883492,0.009310031,0.009541761,0.00007144776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01213848,0.00008914155,0.9849999,0.00001195271,0.00001596209,0.00003288015,0.00003873106,0.0004883159,0.002184561],"genre_scores_gemma":[0.3454366,0.0003168725,0.6466749,0.00003327387,0.00002714714,0.0001132998,0.000169322,0.0001869425,0.007041711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004833039,"threshold_uncertainty_score":0.01616812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198456923158956,"score_gpt":0.2413854933909313,"score_spread":0.2215398010750357,"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."}}