{"id":"W4285115020","doi":"10.1109/tcpmt.2022.3177663","title":"An On-Chip ESD Sensor for Use in Advanced Packaging","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Defense Advanced Research Projects Agency; Semiconductor Research Corporation","keywords":"Electrostatic discharge; Voltage; Electrical engineering; Weibull distribution; CMOS; Chip; Engineering; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171681,0.0003614737,0.0003550507,0.0002437097,0.0002173108,0.0004319732,0.0006627464,0.0006137576,0.002766852],"category_scores_gemma":[0.0003992462,0.0001730474,0.0001943187,0.0002022216,0.0001368019,0.0005288399,0.0003070754,0.0002750732,0.001067862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108265,"about_ca_system_score_gemma":0.0002678945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001832056,"about_ca_topic_score_gemma":0.000508773,"domain_scores_codex":[0.9997028,0.00003102095,0.000009303064,0.00005800818,0.0001777588,0.00002113618],"domain_scores_gemma":[0.9997273,0.00003956821,0.00005077253,0.00006096738,0.0001012253,0.00002016107],"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":[0.000177701,0.0001373525,0.003616527,0.0003603121,0.00004356071,0.0005409642,0.0001025895,0.002767505,0.8628454,0.003145674,0.01304932,0.1132131],"study_design_scores_gemma":[0.00005930924,0.002741177,0.01360328,0.00007173065,0.0001313853,0.003325868,0.0001076985,0.06284547,0.7850862,0.001318239,0.1306255,0.00008408979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4751998,0.003714891,0.4359482,0.00140602,0.001030016,0.0008009324,0.00242248,0.008622919,0.0708546],"genre_scores_gemma":[0.8527533,0.0007539891,0.1249069,0.0005473113,0.00007787424,0.0001222247,0.0006960071,0.0001444194,0.019998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002766852,"threshold_uncertainty_score":0.009256005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348755166389072,"score_gpt":0.2342152133042395,"score_spread":0.2207276616403488,"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."}}