{"id":"W2800418272","doi":"10.1145/3158215","title":"Eh?Legalizer","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"Alberta Innovates - Technology Futures; CMC Microsystems","keywords":"Legalization; Computer science; Robustness (evolution); Scalability; Routing (electronic design automation); Standard cell; Floorplan; Mathematical optimization; Process (computing); Parallel computing; Algorithm; Embedded system; Mathematics; Integrated circuit","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003470774,0.0001765848,0.0002264721,0.0002723981,0.00008737158,0.00003205523,0.0002728904,0.0001442504,0.000186779],"category_scores_gemma":[0.00001560768,0.0001773165,0.00007817373,0.0003677946,0.00005128647,0.0001957537,0.000001264195,0.0001615429,0.0001761296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911032,"about_ca_system_score_gemma":0.00005123125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832911,"about_ca_topic_score_gemma":0.000003586895,"domain_scores_codex":[0.9987934,0.00009463054,0.0003877902,0.0001662323,0.0002296724,0.0003282434],"domain_scores_gemma":[0.9991457,0.0001172515,0.00006653518,0.0005138681,0.0001082966,0.00004830778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002202762,0.0005446855,0.00002392199,0.000850995,0.001376745,0.000006352048,0.002424628,0.2823444,0.4547756,0.0205586,0.03407747,0.2027963],"study_design_scores_gemma":[0.0005842936,0.001196831,0.00006116905,0.0001912215,0.00007718896,0.00005206702,0.00007760625,0.4372786,0.548233,0.002441244,0.009346448,0.0004603459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002353876,0.0003225489,0.9930903,0.00002974328,0.0003516586,0.0004806403,0.000005905152,0.001324159,0.002041209],"genre_scores_gemma":[0.9938015,0.00007497507,0.005400153,0.00001466603,0.00007623803,0.0001483588,0.000002991392,0.00004278122,0.0004383343],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9914476,"threshold_uncertainty_score":0.7230755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784580412577238,"score_gpt":0.2380836591198523,"score_spread":0.2202378549940799,"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."}}