{"id":"W2293763076","doi":"10.1007/s12541-015-0322-8","title":"Fatigue life estimation of vertical probe needle for wafer probing","year":2015,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wafer; von Mises yield criterion; Finite element method; Structural engineering; Service life; Nonlinear system; Stress (linguistics); Mechanical engineering; Materials science; Engineering; Nanotechnology; 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":[0.0003875081,0.0004351124,0.0003428303,0.0007456121,0.0002716323,0.0002538343,0.0006066516,0.001044066,0.0009834582],"category_scores_gemma":[0.001253614,0.0002339131,0.0003462987,0.0002973792,0.0001831862,0.0005568356,0.0002460066,0.0001909244,0.0002998498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553846,"about_ca_system_score_gemma":0.0002223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282902,"about_ca_topic_score_gemma":0.001882905,"domain_scores_codex":[0.9996556,0.00003927278,0.00001502811,0.00007206884,0.0001801122,0.0000379179],"domain_scores_gemma":[0.9989445,0.0002854126,0.0001451611,0.0000773668,0.0005150527,0.00003263057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009982304,0.0001314729,0.03018253,0.0004348384,0.00006378572,0.000326077,0.0003932556,0.02421496,0.7678041,0.0004790531,0.000940695,0.174031],"study_design_scores_gemma":[0.00003001956,0.003561968,0.1010414,0.00006707247,0.0001621439,0.00115977,0.00034554,0.5967132,0.2933613,0.0005175182,0.002944068,0.00009594685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8337095,0.0022034,0.1608544,0.0001028089,0.00005302159,0.00005984447,0.0001996976,0.0005549871,0.002262417],"genre_scores_gemma":[0.9902782,0.0001240808,0.008976161,0.00001747698,0.000005824817,0.00001412901,0.00008362685,0.000009316291,0.0004911841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001282902,"threshold_uncertainty_score":0.003289938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453475730283685,"score_gpt":0.2795113314159548,"score_spread":0.244976574113118,"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."}}