{"id":"W2153245554","doi":"10.1109/tcad.2005.852040","title":"Calligrapher: a new layout-migration engine for hard intellectual property libraries","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Datapath; Standard cell; Metric (unit); Solver; Process (computing); Constraint (computer-aided design); Page layout; Computer engineering; Parallel computing; Integrated circuit; Programming language; Mathematics; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002342102,0.0003482877,0.000489709,0.00036846,0.0001084515,0.0001674444,0.0001850631,0.0002333173,0.00002648679],"category_scores_gemma":[0.000008915417,0.0002567458,0.0001321628,0.0003659295,0.00005256691,0.000332977,8.18712e-7,0.0002575913,0.00000695754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007183275,"about_ca_system_score_gemma":0.00009407892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491789,"about_ca_topic_score_gemma":0.0000261454,"domain_scores_codex":[0.9985225,0.00008662375,0.0006138753,0.0003077686,0.0001803051,0.0002889054],"domain_scores_gemma":[0.9990693,0.0003059927,0.00007265201,0.0002432393,0.0001593034,0.0001494865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008039116,0.0001358773,0.000002796126,0.0002498687,0.000317905,0.00000252054,0.002656368,0.5081458,0.03152004,0.0002177089,0.02183713,0.4348336],"study_design_scores_gemma":[0.0005454748,0.0007817448,0.00000275069,0.000332744,0.00005639551,0.00003815274,0.0001231642,0.8818272,0.109526,0.00004859246,0.006381612,0.0003361208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0034462,0.000742056,0.9931403,0.00004550489,0.0005629524,0.001130741,0.00006907647,0.0007890293,0.00007409143],"genre_scores_gemma":[0.9750623,0.0003249532,0.02342306,0.00004310741,0.0002052093,0.0002616537,0.00001417062,0.0000722304,0.000593318],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9716161,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039085538524316,"score_gpt":0.2124398461675886,"score_spread":0.1733543076432726,"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."}}