{"id":"W2166086163","doi":"10.1109/icvd.1993.669687","title":"Parallel Network Primal-Dual Method on a Shared Memory Multiprocessor and A Unified Approach to VLSI Layout Compaction and Wire Balancing","year":2005,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Initialization; Computer science; Dual (grammatical number); Parallel computing; Very-large-scale integration; Benchmark (surveying); Mathematical optimization; Multiprocessing; Constraint (computer-aided design); Graph; Algorithm; Theoretical computer science; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008202091,0.0006600863,0.0009033414,0.0005205334,0.000450733,0.001039259,0.001345472,0.0007029364,0.004449395],"category_scores_gemma":[0.001231191,0.0004906565,0.0005252655,0.00107588,0.0006348469,0.001100288,0.001266778,0.001303486,0.0007864397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008044224,"about_ca_system_score_gemma":0.001172367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771891,"about_ca_topic_score_gemma":0.003442068,"domain_scores_codex":[0.999564,0.0001609912,0.00001489879,0.00005691243,0.0001550857,0.00004809627],"domain_scores_gemma":[0.999683,0.000125915,0.00003475197,0.00005634596,0.0000751138,0.00002482557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009883913,0.00007784096,0.0002061702,0.00008482951,0.00004584657,0.0001148984,0.00003867755,0.8504021,0.003073271,0.06992688,0.003156497,0.07277419],"study_design_scores_gemma":[0.00001486228,0.00001423385,0.00002037137,0.000002424612,0.00000406755,0.00001425786,0.000004517127,0.991726,0.0004597458,0.0061777,0.001558854,0.000002859475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003127479,0.000126891,0.9937553,0.0001104378,0.00004054138,0.00002215347,0.00001654345,0.0001371485,0.00266344],"genre_scores_gemma":[0.1386355,0.0003520763,0.8525052,0.0001201908,0.00009968181,0.000309947,0.0001023052,0.0001853991,0.00768972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004449395,"threshold_uncertainty_score":0.01488471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978991986993273,"score_gpt":0.2521527774969218,"score_spread":0.2323628576269891,"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."}}