{"id":"W2063456777","doi":"10.5555/1899721.1899888","title":"TLM automation for multi-core design","year":2010,"lang":"en","type":"article","venue":"Asia and South Pacific Design Automation Conference","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Automation; Electronic design automation; Scheduling (production processes); Computer architecture; Embedded system; Netlist; Electronic system-level design and verification; Multi-core processor; Granularity; Software engineering; Programming language; Operating system; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001719225,0.0003186477,0.0003371531,0.0002715812,0.0003252915,0.000583797,0.0006483782,0.0002990417,0.00001850155],"category_scores_gemma":[0.0003532388,0.0003004811,0.00007492318,0.0003187762,0.000107749,0.0009193005,0.00007350254,0.0002433009,0.00006244546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003572744,"about_ca_system_score_gemma":0.0002505459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005708313,"about_ca_topic_score_gemma":0.000002496277,"domain_scores_codex":[0.9977335,0.0002804014,0.0005584097,0.0006836631,0.0003404263,0.0004035917],"domain_scores_gemma":[0.9978235,0.0004337382,0.0003778771,0.0007583636,0.0004292559,0.0001772389],"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":[0.00005370412,0.0002000173,0.0007222217,0.0002637833,0.00008454524,0.00001664299,0.02381482,0.0001362008,0.1911863,0.6380635,0.005702055,0.1397561],"study_design_scores_gemma":[0.0005783354,0.0001707621,0.001072022,0.00005954954,0.00001484008,0.0000391797,0.0002577097,0.9654764,0.01718541,0.01439534,0.0003459603,0.0004044969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001218185,0.00002206362,0.9936011,0.000212349,0.0004587151,0.001888391,0.000008668953,0.001850291,0.0007402756],"genre_scores_gemma":[0.5152336,0.000002603899,0.4841269,0.00002709646,0.00003113382,0.0002865172,0.000006069025,0.00001494534,0.0002711334],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9653402,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054133544848332,"score_gpt":0.3049259715223676,"score_spread":0.1995126170375344,"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."}}