{"id":"W2103280741","doi":"10.1109/mwscas.2007.4488826","title":"A new scheduling algorithm for processor-based logic emulation systems","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Emulation; Computer science; Hardware emulation; Parallel computing; Logic synthesis; Scheduling (production processes); Computer architecture; Embedded system; Logic gate; Algorithm; Field-programmable gate array; 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":[],"consensus_categories":[],"category_scores_codex":[0.000690105,0.0001740311,0.0001915211,0.0002004509,0.0001837334,0.0005278073,0.0006629989,0.000123252,0.000002503299],"category_scores_gemma":[0.0001232672,0.0001680324,0.00005073098,0.0004655981,0.00002165237,0.0004577324,0.00007116967,0.0001156535,0.000006485388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005587353,"about_ca_system_score_gemma":0.000230397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387281,"about_ca_topic_score_gemma":4.142056e-7,"domain_scores_codex":[0.9985983,0.000004604021,0.000328949,0.0004496641,0.0002464579,0.0003720099],"domain_scores_gemma":[0.9985465,0.00007180343,0.0002299964,0.0001318878,0.0008744836,0.0001453108],"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":[0.00003679479,0.0001193377,0.001375846,0.0003736858,0.00002816451,0.000003333922,0.001996426,0.006810027,0.002300994,0.5134033,0.001786104,0.471766],"study_design_scores_gemma":[0.0003569263,0.0001128227,0.00008579993,0.0001170595,0.00000517087,0.000005240275,0.00005120159,0.9827655,0.004942312,0.01071403,0.0006190622,0.0002248698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006974915,0.0001025949,0.9956793,0.0003174386,0.0001867855,0.0005177875,7.22012e-7,0.001008133,0.00148979],"genre_scores_gemma":[0.3940238,0.000002312039,0.6055447,0.0001120323,0.0001040072,0.0000242702,0.000003012534,0.000008188835,0.0001776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9759555,"threshold_uncertainty_score":0.6852164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212994273911894,"score_gpt":0.2971300574243182,"score_spread":0.2550001146851992,"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."}}