{"id":"W2078296499","doi":"10.1007/s10836-005-0335-9","title":"Incremental Design Debugging in a Logic Synthesis Environment","year":2005,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Debugging; Programming language; Computer science; Algorithmic program debugging; Computer architecture; Arithmetic; 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":[0.002506068,0.0006995481,0.0005651014,0.001053556,0.0005561986,0.0009708178,0.002109136,0.0008750975,0.004202805],"category_scores_gemma":[0.01179873,0.000769672,0.0005532749,0.0006473835,0.0008630591,0.003005163,0.001849012,0.001126726,0.0004638609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005161623,"about_ca_system_score_gemma":0.0011258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079056,"about_ca_topic_score_gemma":0.003137378,"domain_scores_codex":[0.9975687,0.001085497,0.0001241736,0.0003373702,0.0006873619,0.0001969796],"domain_scores_gemma":[0.987333,0.009282814,0.0004274586,0.0019787,0.000785552,0.0001924578],"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":[0.002355059,0.0007428857,0.005613463,0.0004055511,0.0001023741,0.0009497486,0.0008472111,0.2143774,0.06698103,0.04766633,0.004521816,0.6554372],"study_design_scores_gemma":[0.0002739824,0.0004212435,0.0005270225,0.00004145871,0.00009396039,0.0002345724,0.00009392043,0.9154386,0.04528068,0.03379368,0.003766308,0.00003450362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05175541,0.0001158642,0.9378102,0.00015479,0.0000291234,0.00007805281,0.00005994296,0.007949748,0.002046897],"genre_scores_gemma":[0.4550706,0.00007580022,0.5428628,0.0001151632,0.00002109013,0.00005875379,0.0001506436,0.0005054637,0.001139787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004202805,"threshold_uncertainty_score":0.01405978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815471650241003,"score_gpt":0.2327388080850663,"score_spread":0.1945840915826563,"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."}}