{"id":"W2289241984","doi":"10.1109/rsp.2015.7416557","title":"Hard block reduction and synthesis improvements in Odin II","year":2015,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Netlist; Computer science; Verilog; Field-programmable gate array; Block (permutation group theory); Reduction (mathematics); Computer architecture; For loop; Embedded system; Routing (electronic design automation); Abstract syntax tree; Tree (set theory); Gate array; Programming language; Computer hardware; Loop (graph theory); Parsing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278458,0.0008551898,0.0003640094,0.000776162,0.0003788031,0.001016025,0.0006895885,0.0002107347,0.007160855],"category_scores_gemma":[0.0009468407,0.000302249,0.0004634172,0.0005070067,0.0002463502,0.0008015133,0.0007198313,0.0006371104,0.001246354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007162385,"about_ca_system_score_gemma":0.0008357502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505956,"about_ca_topic_score_gemma":0.003783428,"domain_scores_codex":[0.9993954,0.00007471644,0.00005107673,0.00009801576,0.0002895312,0.00009127461],"domain_scores_gemma":[0.9994879,0.0001353628,0.00005226919,0.0001471805,0.0001557666,0.00002157614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007379712,0.0002615353,0.001611728,0.0006833398,0.00003958531,0.0005376127,0.0003707501,0.05456845,0.2921977,0.02525927,0.008908858,0.6148233],"study_design_scores_gemma":[0.0002171961,0.0008500858,0.003604705,0.0001287356,0.000147827,0.00101724,0.0001981444,0.2297952,0.5047181,0.01272607,0.2465195,0.00007717888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2064258,0.001397781,0.7020985,0.0005163639,0.0003571155,0.0004753379,0.001282801,0.0101298,0.07731647],"genre_scores_gemma":[0.4409673,0.0005297445,0.5210139,0.0004097848,0.00007104787,0.0001750956,0.002575373,0.001797884,0.03245992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007160855,"threshold_uncertainty_score":0.0239554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212052231466088,"score_gpt":0.215047636245826,"score_spread":0.1929271139311652,"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."}}