{"id":"W1996678568","doi":"10.1145/368434.368600","title":"Analytical minimization of half-perimeter wirelength","year":2000,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Texas at Austin","keywords":"Minification; Perimeter; Computer science; Mathematics; Mathematical optimization; Algorithm; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002655945,0.00005291457,0.00008290009,0.00003762207,0.000006292655,0.00000519705,0.00004633036,0.00004554124,0.002818661],"category_scores_gemma":[0.000002858354,0.0000464267,0.00002885003,0.00008682842,0.00001417289,0.00005266812,0.000002373186,0.00003313365,0.00004261271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007413594,"about_ca_system_score_gemma":0.000002454863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006940915,"about_ca_topic_score_gemma":5.494732e-7,"domain_scores_codex":[0.9996935,0.000005472822,0.0001151073,0.00005275006,0.00005605903,0.0000771351],"domain_scores_gemma":[0.9998511,0.00001194017,0.000004150471,0.00009765964,0.00001091459,0.00002421434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002825639,0.0001532118,0.002015026,0.000137476,0.0001427639,0.000009568303,0.0004185658,0.008867495,0.02381147,0.01060074,0.05613456,0.8976809],"study_design_scores_gemma":[0.000225213,0.00008703322,0.001699038,0.00002085496,0.00002634761,0.000006013749,0.00001447193,0.6646045,0.3098155,0.0003664695,0.02287834,0.0002562017],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3972261,0.00013579,0.08467325,0.00005080748,0.00005116523,0.0001496105,0.000003006379,0.00119402,0.5165162],"genre_scores_gemma":[0.9915217,0.00005817958,0.007093689,0.00002119944,0.00001790327,0.000002703375,0.000002828204,0.00001138298,0.001270483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8974246,"threshold_uncertainty_score":0.9980929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008589669774032426,"score_gpt":0.2104882135888069,"score_spread":0.2018985438147745,"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."}}