{"id":"W2138206217","doi":"10.1109/fpl.2005.1515784","title":"QPF: efficient quadratic placement for FPGAs","year":2005,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Benchmark (surveying); Field-programmable gate array; Quadratic equation; Computer science; Electronic circuit; Process (computing); Algorithm; Chip; Mathematical optimization; Mathematics; Embedded system; Engineering; Telecommunications; Geometry; Electrical 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":[0.0007759838,0.0008611366,0.0006323071,0.0009206649,0.0005446523,0.0006383854,0.001399914,0.0005792091,0.01197326],"category_scores_gemma":[0.002435236,0.0005339592,0.0004827632,0.0007801987,0.0005292847,0.001155581,0.000840796,0.0006904477,0.002394526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607706,"about_ca_system_score_gemma":0.0008340664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288839,"about_ca_topic_score_gemma":0.004350911,"domain_scores_codex":[0.9992768,0.0001606393,0.00003924937,0.00008911914,0.0003592906,0.00007501028],"domain_scores_gemma":[0.9993252,0.0003272301,0.00007233099,0.0001162928,0.0001317173,0.0000272213],"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":[0.0002457678,0.00007017129,0.0006273175,0.0003889598,0.0000333031,0.0002439935,0.0001480041,0.3331717,0.02191118,0.02174539,0.01469491,0.6067194],"study_design_scores_gemma":[0.00009249899,0.0002734392,0.0003061059,0.00003441761,0.000009711082,0.0003408755,0.00003992883,0.958085,0.0102411,0.01418914,0.01635831,0.00002949667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004240925,0.0001078605,0.9914389,0.00005506559,0.00002508758,0.00003483611,0.0000558944,0.002513268,0.00152818],"genre_scores_gemma":[0.1197445,0.0002313993,0.874506,0.00008454849,0.00003540811,0.0001123294,0.0002971677,0.0007323802,0.00425629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01197326,"threshold_uncertainty_score":0.04005456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009972897050443194,"score_gpt":0.2240620837684011,"score_spread":0.214089186717958,"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."}}