{"id":"W2104105957","doi":"10.1109/iccad.1991.185275","title":"A stimulus/response system based on hierarchical timing diagrams","year":2002,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"VHDL; Computer science; Hierarchical database model; Hardware description language; Programming language; Graph; Theoretical computer science; Circuit diagram; Artificial intelligence; Data mining; Embedded system","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":[0.001088835,0.0002043857,0.000238501,0.0002580087,0.0001256764,0.0002131481,0.001042657,0.0001162384,0.00005997669],"category_scores_gemma":[0.0001530031,0.0001671047,0.0001044064,0.0004433692,0.00003941373,0.0002208464,0.0001258967,0.0002143795,0.0005540521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800034,"about_ca_system_score_gemma":0.00002868706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001566197,"about_ca_topic_score_gemma":0.000001517498,"domain_scores_codex":[0.9975717,0.0006845373,0.000328968,0.0005173047,0.0005066757,0.0003908341],"domain_scores_gemma":[0.9975768,0.0009845338,0.00007490675,0.001124618,0.00005500214,0.0001841532],"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":[0.000527626,0.00153277,0.001046327,0.000478348,0.0000773947,0.002069592,0.003603221,0.003585213,0.01744639,0.7258984,0.08585127,0.1578834],"study_design_scores_gemma":[0.0002623009,0.0003894938,0.000120473,0.0001346109,0.000002413266,0.00003427155,0.00001355288,0.9926957,0.004727513,0.0001524375,0.001236605,0.0002306542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003923771,0.00002371163,0.9657627,0.0009865462,0.0001749661,0.0003714033,0.000001077473,0.002556246,0.02619954],"genre_scores_gemma":[0.8879725,4.024949e-7,0.1100893,0.0006344735,0.00004793519,0.00007127422,3.158536e-7,0.00001703535,0.001166853],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9891105,"threshold_uncertainty_score":0.7121404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018704920060614,"score_gpt":0.2549714909349471,"score_spread":0.214784441734341,"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."}}