{"id":"W1972994782","doi":"10.1115/pvp2012-78236","title":"Calculation of Stress Intensity Factor for Surface Flaws Using Universal Weight Functions With Piece-Wise Cubic Stress Interpolation","year":2012,"lang":"en","type":"article","venue":"Volume 1: Codes and Standards","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Stress intensity factor; Interpolation (computer graphics); Weight function; Stress (linguistics); Linear interpolation; Mathematics; Polynomial; Cubic function; Mathematical analysis; Function (biology); Polynomial interpolation; Geometry; Structural engineering; Applied mathematics; Fracture mechanics; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001209385,0.0001300992,0.0001902966,0.00005317788,0.000089017,0.00002255643,0.00003608087,0.00007990157,0.00003310479],"category_scores_gemma":[0.00001557742,0.0001130088,0.00003938063,0.00009350965,0.00003236858,0.0002783243,0.00001495231,0.00008739005,2.62862e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248816,"about_ca_system_score_gemma":0.00003177458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080924,"about_ca_topic_score_gemma":0.0002359227,"domain_scores_codex":[0.9993592,0.0000137711,0.0001435985,0.0001028631,0.0001986626,0.0001819075],"domain_scores_gemma":[0.9994377,0.00002804411,0.00005172146,0.0001096904,0.0003004456,0.00007235797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002550221,0.0004126749,0.5589862,0.002767144,0.001591383,0.000006994817,0.02235949,0.2670776,0.08748686,0.003150685,0.004564006,0.04904671],"study_design_scores_gemma":[0.0007188477,0.0001690347,0.00946678,0.0002016555,0.0001457377,0.000003535546,0.0008446282,0.9693143,0.01275278,0.00002664547,0.006071263,0.000284806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834113,0.0003101523,0.4146458,0.000007914895,0.0002288448,0.0001189523,0.001197167,0.00003684442,0.00004307894],"genre_scores_gemma":[0.9974909,0.00003696356,0.002283656,0.000002536652,0.00006798864,0.000001333407,0.00005172001,0.00002154895,0.00004338535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7022367,"threshold_uncertainty_score":0.4608367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378107908822428,"score_gpt":0.2311090175172371,"score_spread":0.2173279384290128,"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."}}