{"id":"W4376271464","doi":"10.1109/asmc57536.2023.10121103","title":"Microcircuit Defect and Counterfeit Detection via Silicon Geometry","year":2023,"lang":"en","type":"article","venue":"","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Palette (Canada)","funders":"","keywords":"Counterfeit; Sophistication; Reliability (semiconductor); Computer science; Face (sociological concept); Domain (mathematical analysis); Reliability engineering; Engineering; Mathematics; Physics; Geography","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":[0.000188423,0.0005379828,0.0002833334,0.001120943,0.0001615825,0.0004594857,0.0006832608,0.0004641048,0.001078836],"category_scores_gemma":[0.001070698,0.0001208335,0.0001926437,0.0004945339,0.0003697806,0.0003800032,0.0004432077,0.0001746904,0.0004746421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366538,"about_ca_system_score_gemma":0.0002146785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459962,"about_ca_topic_score_gemma":0.00563018,"domain_scores_codex":[0.9997312,0.00002491362,0.00001120233,0.00008773762,0.0001153953,0.00002950131],"domain_scores_gemma":[0.9994587,0.0001368067,0.0001584553,0.00009938507,0.0001236842,0.00002298638],"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":[0.0006398235,0.0001876298,0.1484218,0.0006482842,0.0001929053,0.001203587,0.000442805,0.07750607,0.4301174,0.005933548,0.007381519,0.3273245],"study_design_scores_gemma":[0.00002379429,0.000429309,0.1067282,0.0000628507,0.0000915592,0.002207823,0.0002992069,0.5933105,0.2839495,0.004333806,0.008492342,0.00007109546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460842,0.0009494013,0.139175,0.0002090415,0.00006436595,0.00009316365,0.001571434,0.002149733,0.009703613],"genre_scores_gemma":[0.9790987,0.0001788139,0.01806989,0.0000448252,0.00001081011,0.00002216081,0.0008284078,0.0000353179,0.001710935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459962,"threshold_uncertainty_score":0.003609121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00671964805224098,"score_gpt":0.1869195153871629,"score_spread":0.180199867334922,"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."}}