{"id":"W4396949573","doi":"10.1109/isqed60706.2024.10528365","title":"Fast Current Constraints Generation for Chip Safety","year":2024,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Semiconductor Research Corporation","keywords":"Computer science; Current (fluid); System on a chip; Chip; Embedded system; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551241,0.0006124814,0.0006117008,0.0005408971,0.0004502864,0.0007630766,0.0006692031,0.0006075372,0.006136809],"category_scores_gemma":[0.002435821,0.0003843421,0.0005771198,0.0004177809,0.000544597,0.0009552581,0.0009793255,0.001354594,0.001395775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004201398,"about_ca_system_score_gemma":0.001208446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958204,"about_ca_topic_score_gemma":0.002674144,"domain_scores_codex":[0.999599,0.00007619341,0.00001673629,0.00003992636,0.0002279858,0.00004027732],"domain_scores_gemma":[0.9991168,0.0004529764,0.00005581451,0.0001567354,0.0001924192,0.00002514999],"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":[0.0001383511,0.00007190207,0.0005152991,0.0002117049,0.0000345116,0.000197846,0.0001881207,0.6031721,0.02673728,0.1318781,0.007634774,0.22922],"study_design_scores_gemma":[0.00001659542,0.00002402896,0.00004496927,0.000009256599,0.000003206105,0.0000437922,0.00002028332,0.9624612,0.006580581,0.02771343,0.003073542,0.000009024596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005600269,0.00006749692,0.9913037,0.0001049815,0.00002321539,0.00003845943,0.00007919944,0.0006273122,0.002155517],"genre_scores_gemma":[0.290007,0.0002392783,0.7047236,0.0001267302,0.00004591351,0.000198048,0.0006190325,0.0003757957,0.003664694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006136809,"threshold_uncertainty_score":0.02052963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402567065239991,"score_gpt":0.2941325262833827,"score_spread":0.2401068556309828,"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."}}