{"id":"W2139478143","doi":"10.5555/832284.835430","title":"Probabilistic Analysis of Rectilinear Steiner Trees","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Steiner tree problem; Probabilistic logic; Very-large-scale integration; Computer science; Set (abstract data type); Tree (set theory); Interconnection; Algorithm; Mathematical optimization; Theoretical computer science; Mathematics; Combinatorics; Artificial intelligence; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004720329,0.00006417272,0.0001658933,0.0001862639,0.000007383345,0.000005590421,0.00006364967,0.00003896434,0.001206142],"category_scores_gemma":[0.00001615002,0.00005266375,0.00008025832,0.0005785957,0.00001462996,0.00003561133,0.000005677449,0.00003892766,0.00001432424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221295,"about_ca_system_score_gemma":6.956386e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149095,"about_ca_topic_score_gemma":0.00004306642,"domain_scores_codex":[0.9996219,0.000007560951,0.0001462826,0.00007132132,0.00006850656,0.00008445302],"domain_scores_gemma":[0.9997416,0.00002862376,0.00001098883,0.0001722461,0.00002318113,0.0000234233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001839673,0.0007194194,0.01696886,0.0005370844,0.008093533,0.00003005213,0.002611917,0.315007,0.1746437,0.01145795,0.1163301,0.3535821],"study_design_scores_gemma":[0.00006478353,0.0000440394,0.001931915,0.000005958963,0.0003481265,6.39519e-7,0.00001627037,0.9703968,0.02488472,0.0001313625,0.002042795,0.0001325488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5247558,0.00116029,0.1101106,0.00006316651,0.000132475,0.0004184515,0.00002569636,0.00317684,0.3601567],"genre_scores_gemma":[0.9958115,0.00004895706,0.002746596,0.000007750947,0.00001287149,0.000008181671,0.000002222452,0.000009771645,0.001352172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6553898,"threshold_uncertainty_score":0.9997069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878791754761507,"score_gpt":0.2050953567815398,"score_spread":0.1863074392339248,"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."}}