{"id":"W2148414872","doi":"10.21236/ada603903","title":"Integration of Physical Design and Sequential Optimization","year":2006,"lang":"en","type":"report","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001293071,0.0001436618,0.0002335916,0.0001077205,0.000009979553,0.00001707892,0.00004167574,0.0001861703,0.00002004718],"category_scores_gemma":[0.00001218388,0.0001264386,0.00004804495,0.00006465014,0.00002072853,0.00006457185,0.000009228144,0.0001174043,6.939688e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000637376,"about_ca_system_score_gemma":0.00004555281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007914624,"about_ca_topic_score_gemma":0.000002356534,"domain_scores_codex":[0.9994159,0.0000149828,0.0001955749,0.0001064689,0.0001917378,0.00007531857],"domain_scores_gemma":[0.999702,0.00002133649,0.00004864518,0.000100677,0.0001102052,0.00001711116],"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":[0.000005863207,0.00005224011,0.000005795614,0.0005725832,0.00009936478,0.000005975056,0.00009495252,0.7853238,0.06302471,0.0004131803,0.08723582,0.06316569],"study_design_scores_gemma":[0.0000579659,0.00006517847,0.00001220408,0.0001055827,0.0000663378,0.00001013484,0.000002687934,0.8847855,0.1130596,0.0002503319,0.001380332,0.0002040843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009428446,0.0001654574,0.9469699,0.000001098223,0.00008725467,0.0002089955,0.000006657666,0.0003497671,0.05211655],"genre_scores_gemma":[0.4681238,0.002068556,0.5247248,0.000005008031,0.0008616641,0.00009536996,0.0005870243,0.0001765475,0.003357202],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4680295,"threshold_uncertainty_score":0.5156017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171874890547548,"score_gpt":0.2656318573185264,"score_spread":0.2339131084130509,"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."}}