{"id":"W2001180691","doi":"10.1142/s0218126608004526","title":"A FAST AND EFFECTIVE TIMING-DRIVEN PLACEMENT TOOL FOR FPGAs","year":2008,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Benchmark (surveying); Field-programmable gate array; Routing (electronic design automation); Computer science; Process (computing); Quadratic equation; Path (computing); Electronic circuit; Microelectronics; Chip; Algorithm; Mathematics; Embedded system; Engineering; Electrical engineering; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006992602,0.0009504745,0.0005402415,0.0008525951,0.0003665301,0.00056284,0.001752529,0.0006361654,0.01031025],"category_scores_gemma":[0.002370034,0.000632362,0.0006013729,0.0006996788,0.0003668985,0.001083995,0.0007131083,0.0009290759,0.002381585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004100902,"about_ca_system_score_gemma":0.0008335905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397171,"about_ca_topic_score_gemma":0.001927983,"domain_scores_codex":[0.999111,0.00014364,0.00006016207,0.00009777346,0.0005274121,0.00006000793],"domain_scores_gemma":[0.9990533,0.0004710942,0.0000887609,0.0001549922,0.0002004019,0.00003148584],"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":[0.0002422515,0.00007911395,0.0006550016,0.0005983832,0.0000577922,0.0003489059,0.0001436143,0.1789677,0.0561261,0.01786379,0.02269582,0.7222214],"study_design_scores_gemma":[0.0002440933,0.0004204891,0.000660279,0.00009126321,0.00003756678,0.0008739459,0.000046071,0.8759658,0.04851975,0.01763766,0.0554199,0.00008321006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001926835,0.0000878588,0.9891487,0.00003464012,0.00003065695,0.00003453124,0.0001113932,0.007616217,0.001009101],"genre_scores_gemma":[0.06838086,0.000275003,0.925562,0.0001128111,0.00003920137,0.0001772337,0.0006626034,0.001633732,0.003156601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01031025,"threshold_uncertainty_score":0.03449124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450490427514578,"score_gpt":0.2108317608578165,"score_spread":0.1963268565826708,"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."}}