{"id":"W1970433166","doi":"10.1109/vlsi-dat.2014.6834918","title":"Design-for-diagnosis: Your safety net in catching design errors in known good dies in CoWoS&lt;sup&gt;TM&lt;/sup&gt;/3D ICs","year":2014,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"Debugging; Chip; Computer science; Integrated circuit; Integrated circuit design; Integrator; Embedded system; Reliability engineering; Engineering; Programming language; Operating system; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001245815,0.0005136566,0.000710151,0.000665473,0.00008501366,0.00005870649,0.0005555731,0.0005069984,0.00004317288],"category_scores_gemma":[0.0004894952,0.0004939029,0.00008924002,0.0007248938,0.00009495438,0.0003580618,0.0001596292,0.0005930541,0.00005030417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442023,"about_ca_system_score_gemma":0.00005847833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163794,"about_ca_topic_score_gemma":0.002635734,"domain_scores_codex":[0.9972959,0.0001603837,0.0008262988,0.0005173659,0.000238696,0.0009614036],"domain_scores_gemma":[0.9984109,0.0009110299,0.00007421809,0.0004759185,0.00003957673,0.00008829458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009921425,0.0001870808,0.0306804,0.0002200837,0.00007177717,0.00004315899,0.003139474,0.9223315,0.0008561561,0.00477095,0.002821081,0.03477915],"study_design_scores_gemma":[0.00347846,0.0003767302,0.02425616,0.0006535836,0.00004670471,0.0000139788,0.002599444,0.9417612,0.009113709,0.00761507,0.008475092,0.001609893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4700804,0.002699885,0.5165266,0.0007881905,0.0004099112,0.00188291,0.00002226436,0.002064515,0.005525291],"genre_scores_gemma":[0.9447883,0.001050866,0.05327023,0.00007982719,0.00006049505,0.0004788277,0.00001362734,0.00009617232,0.0001616613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4747079,"threshold_uncertainty_score":0.9997513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897015721289946,"score_gpt":0.2360103026267761,"score_spread":0.2070401454138767,"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."}}