{"id":"W2146888824","doi":"10.1109/ecctd.2007.4529654","title":"Clustering algorithms for circuit partitioning and placement problems","year":2007,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cluster analysis; Computer science; Digital electronics; Algorithm; Correlation clustering; Data mining; Computer engineering; Electronic circuit; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853173,0.001666679,0.001328654,0.00254128,0.001322179,0.001294768,0.00189379,0.001798143,0.003588148],"category_scores_gemma":[0.009929141,0.0005552174,0.000949402,0.004475451,0.0008980035,0.002032212,0.001340141,0.001785001,0.001613269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353256,"about_ca_system_score_gemma":0.001045534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219979,"about_ca_topic_score_gemma":0.00410331,"domain_scores_codex":[0.99812,0.0005748814,0.0001103826,0.0002361219,0.0008387379,0.0001198406],"domain_scores_gemma":[0.9970682,0.001590293,0.000220243,0.00029658,0.0007492402,0.00007541136],"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":[0.0001167509,0.00006593102,0.000686025,0.0003319995,0.00009794095,0.00005123648,0.0001216289,0.6765655,0.003136773,0.05802741,0.008206019,0.2525927],"study_design_scores_gemma":[0.00002554146,0.00005153984,0.0003396506,0.0000273937,0.00002021974,0.00009804076,0.00004537716,0.946328,0.001257411,0.04566596,0.006124367,0.0000164375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005188317,0.001712959,0.9889508,0.0002306776,0.00007712591,0.0001203404,0.0001234834,0.0003905177,0.003205869],"genre_scores_gemma":[0.1422181,0.003656759,0.8471445,0.0002126222,0.0002833156,0.0004185326,0.001072775,0.0002851238,0.004708232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003588148,"threshold_uncertainty_score":0.01200354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460714038972421,"score_gpt":0.249355746394177,"score_spread":0.2147486060044528,"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."}}