{"id":"W2002234294","doi":"10.1023/a:1027418704942","title":"On Faster IDDQ Measurements","year":2003,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Key (lock); Computer science; Algorithm; Operating system","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":[0.001238647,0.0008395296,0.0009376358,0.001154271,0.0004945172,0.001231812,0.001035209,0.0007621875,0.01613305],"category_scores_gemma":[0.00375946,0.0005249387,0.0002598941,0.001019714,0.0005025791,0.003634059,0.001434982,0.001647609,0.002292499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006671784,"about_ca_system_score_gemma":0.0003816015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008469922,"about_ca_topic_score_gemma":0.001825329,"domain_scores_codex":[0.9985836,0.0003591602,0.00003462633,0.0002042588,0.0007331389,0.00008529013],"domain_scores_gemma":[0.9968072,0.00157746,0.0001534176,0.0008838395,0.0004960978,0.00008197048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00282323,0.0001858864,0.005604777,0.0006484226,0.0001076722,0.0003055306,0.0005220463,0.01174903,0.2828279,0.1279218,0.0251755,0.5421282],"study_design_scores_gemma":[0.0003079871,0.0009012345,0.01540398,0.0004546851,0.0003506709,0.002079828,0.0003421473,0.348568,0.4052414,0.07639647,0.1497511,0.0002025436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2046849,0.00719254,0.7089977,0.003142742,0.00169657,0.0001672129,0.0007540827,0.007186362,0.0661779],"genre_scores_gemma":[0.7955919,0.001764001,0.1789961,0.001318188,0.00061405,0.00008278985,0.0006121544,0.0009852719,0.02003551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01613305,"threshold_uncertainty_score":0.0539704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105263204613115,"score_gpt":0.2195311974950225,"score_spread":0.1884785654488913,"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."}}