{"id":"W2015447234","doi":"10.1109/vlsit.2012.6242504","title":"Designing in scaled technologies: 32 nm and beyond","year":2012,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Very-large-scale integration; Interconnection; Node (physics); Scaling; Computer science; Voltage; Electronic engineering; Integrated circuit design; Electrical engineering; Embedded system; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003639622,0.00005302481,0.00008058908,0.00008622566,0.00004000272,0.00006039924,0.0001817671,0.00005794282,0.000007841802],"category_scores_gemma":[0.00001951019,0.00004085015,0.0000122353,0.0001944258,0.00001763673,0.0003756752,0.0001178669,0.00007129079,0.00002067221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001606389,"about_ca_system_score_gemma":0.000004471878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002056711,"about_ca_topic_score_gemma":0.00001877993,"domain_scores_codex":[0.9994774,0.00002718384,0.0001154785,0.0001227707,0.00005800793,0.0001991914],"domain_scores_gemma":[0.999719,0.00005698644,0.00002220437,0.0001635028,0.00001285772,0.0000254193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005592419,0.00009987452,0.0913931,0.00002600975,0.00001754192,0.00001243538,0.004119854,0.00009320315,0.003948935,0.6656029,0.008612526,0.2260681],"study_design_scores_gemma":[0.003473335,0.0006391711,0.04137794,0.0004081778,0.00001361923,0.0008804587,0.01851177,0.7544405,0.06660079,0.03936761,0.07185816,0.002428416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04722739,0.0004695496,0.9215216,0.0005427527,0.0004622859,0.00009985165,5.420476e-8,0.000281011,0.02939547],"genre_scores_gemma":[0.9775017,0.000007388869,0.02191465,0.0001196459,0.00003118863,0.000009294966,5.54918e-8,0.000002140302,0.0004139421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9302743,"threshold_uncertainty_score":0.1665821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579433175556291,"score_gpt":0.2289736788825344,"score_spread":0.2131793471269715,"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."}}