{"id":"W2154356865","doi":"10.1109/cicc.2003.1249360","title":"Architecture of datapath-oriented coarse-grain logic and routing for FPGAs","year":2004,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Datapath; Field-programmable gate array; Routing (electronic design automation); Computer architecture; Computer science; Architecture; Logic synthesis; Set (abstract data type); Parallel computing; Reconfigurability; Embedded system; Logic gate; Algorithm; Programming language; Geography","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":[0.000102383,0.0002079975,0.0001372142,0.0003209769,0.0002187942,0.0004137308,0.0006572107,0.0001752113,0.001579123],"category_scores_gemma":[0.0001536992,0.0001416128,0.0001592723,0.0003511836,0.0002035193,0.0004667728,0.0001596748,0.0002008308,0.0003008483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148724,"about_ca_system_score_gemma":0.0005115994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908915,"about_ca_topic_score_gemma":0.004644151,"domain_scores_codex":[0.9999377,0.000007540164,0.000005023962,0.00001642856,0.00002116933,0.00001214172],"domain_scores_gemma":[0.999911,0.00001375661,0.00001351711,0.00002613037,0.00002852018,0.000007238412],"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":[0.0004980997,0.0001457209,0.003476302,0.00044618,0.00008529433,0.0004349184,0.0001532229,0.1159695,0.3154582,0.04449941,0.00592693,0.5129063],"study_design_scores_gemma":[0.0002618272,0.001086318,0.004976035,0.00006233809,0.0001762029,0.001128604,0.00009114335,0.6428449,0.2485066,0.02201025,0.07876219,0.00009363367],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499549,0.0007305779,0.8390317,0.0001757007,0.00009292947,0.0001164907,0.0001342254,0.002193918,0.007569587],"genre_scores_gemma":[0.547614,0.0004091709,0.4469266,0.0001644544,0.00002270917,0.00006389385,0.0003192692,0.00006395506,0.004415806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001908915,"threshold_uncertainty_score":0.00528276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192976122594891,"score_gpt":0.2254198725450947,"score_spread":0.2134901113191458,"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."}}