{"id":"W2148347268","doi":"10.1109/iwrsp.1994.315913","title":"Using an FPGA based computer as a hardware emulator for built-in self-test structures","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Government; Council for Science and Technology Policy; CMC Microsystems","keywords":"Emulation; Field-programmable gate array; Control reconfiguration; Hardware emulation; Computer science; Embedded system; Computer hardware; Built-in self-test; Computer architecture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000138936,0.000172898,0.0001894121,0.0001423433,0.0001638933,0.0002673521,0.0006569409,0.00006885512,0.00006075884],"category_scores_gemma":[0.00006110084,0.0001569361,0.00007408843,0.0003029746,0.00001544813,0.0004847375,0.00008206259,0.00009587825,0.00001296434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005159,"about_ca_system_score_gemma":0.00004536681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000959528,"about_ca_topic_score_gemma":0.0000432726,"domain_scores_codex":[0.9986696,0.00003629609,0.0002362079,0.0004768715,0.0001869083,0.0003941457],"domain_scores_gemma":[0.9990488,0.000221541,0.00006640096,0.0004483422,0.00008112442,0.0001338416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002285027,0.002138964,0.1011346,0.0004067177,0.00008200695,0.0004079609,0.004546271,0.09690797,0.01143057,0.039694,0.003744855,0.7395038],"study_design_scores_gemma":[0.0005256608,0.0001355226,0.002219352,0.00002604774,0.000004964062,0.0000253589,0.000009076099,0.993425,0.001363481,0.001678207,0.0003518737,0.0002355285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1258513,0.00003416063,0.8726308,0.0001720532,0.0001738876,0.0002290662,0.0000031371,0.0004105787,0.0004950417],"genre_scores_gemma":[0.8014987,2.797045e-7,0.1973294,0.0009622387,0.0001585912,0.00000517938,0.00000199233,0.00001329155,0.00003034571],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.896517,"threshold_uncertainty_score":0.6399669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06791810002245667,"score_gpt":0.2882668736502301,"score_spread":0.2203487736277734,"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."}}