{"id":"W10199753","doi":"10.1210/jcem.84.4.5617","title":"The Steiner Ratio for Obstacle-Avoiding Rectilinear Steiner Trees","year":2008,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Steiner tree problem; Obstacle; Combinatorics; Mathematics; Set (abstract data type); Computer science; Discrete mathematics; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001815042,0.0001707198,0.0001484262,0.0002726692,0.0005596302,0.00009247589,0.0002131625,0.00009100174,0.00005851818],"category_scores_gemma":[0.0001274266,0.0001470748,0.00006636947,0.0003044198,0.00007203888,0.0000981013,0.000007447068,0.0002088221,0.00003986802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181354,"about_ca_system_score_gemma":0.0003395799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006618521,"about_ca_topic_score_gemma":0.004858432,"domain_scores_codex":[0.9990236,0.00002987431,0.0002242812,0.0001891515,0.0001846315,0.000348466],"domain_scores_gemma":[0.9988688,0.0005002163,0.00003089206,0.0001692563,0.0002131295,0.0002177669],"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":[0.00007247236,0.00005783609,0.002242215,0.0001080724,0.0003570464,0.00009283508,0.001122308,0.4268127,0.002415661,0.2188049,0.1985438,0.1493703],"study_design_scores_gemma":[0.0007027058,0.0002508264,0.008589248,0.00007348262,0.00001879821,0.00005786637,0.000272223,0.8845611,0.002529056,0.009102995,0.09309772,0.0007439294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3581877,0.001270717,0.6048782,0.002759084,0.001886114,0.001817918,0.0005404605,0.00127643,0.02738341],"genre_scores_gemma":[0.9957785,0.00004679877,0.002420193,0.0002528625,0.000175606,0.0000743553,0.00007533205,0.00003455157,0.001141793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6375908,"threshold_uncertainty_score":0.5997534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271413218695374,"score_gpt":0.2362247789894755,"score_spread":0.1935106468025217,"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."}}