{"id":"W1997526146","doi":"10.1109/test.2014.7035337","title":"On-chip constrained random stimuli generation for post-silicon validation using compact masks","year":2014,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Chip; Random number generation; Binary number; Algorithm; Volume (thermodynamics); Theoretical computer science; Mathematics","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":[0.0004665813,0.0004292522,0.0002709755,0.0002269581,0.00014765,0.0003493993,0.0007882786,0.0003094489,0.002078094],"category_scores_gemma":[0.001554531,0.0001545264,0.0001701845,0.0001872237,0.0004626283,0.000563639,0.0005053744,0.0003305776,0.000349875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003954084,"about_ca_system_score_gemma":0.0003600842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002368111,"about_ca_topic_score_gemma":0.0004593287,"domain_scores_codex":[0.9995097,0.0001115349,0.00002342459,0.00006966304,0.0002494818,0.00003614902],"domain_scores_gemma":[0.9986973,0.0005788345,0.0002571907,0.0002864735,0.0001406893,0.00003955395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004508732,0.0001166874,0.00080804,0.0002427011,0.00003340887,0.0004401226,0.0002007869,0.08387513,0.7587162,0.02473842,0.001314448,0.1290632],"study_design_scores_gemma":[0.00006483724,0.0006795127,0.0007856444,0.00002551671,0.00002030729,0.000444554,0.00003075338,0.3180023,0.6665775,0.005636277,0.007690246,0.00004251919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1324988,0.0002356185,0.8613124,0.0001218656,0.00007135328,0.0001695343,0.0001143155,0.001492342,0.003983841],"genre_scores_gemma":[0.7640281,0.00008644981,0.2337088,0.00008754897,0.00001556863,0.0001348158,0.0001033726,0.0001581996,0.001676998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002078094,"threshold_uncertainty_score":0.006951869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07294315649115955,"score_gpt":0.2970341225981895,"score_spread":0.2240909661070299,"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."}}