{"id":"W7110046025","doi":"10.4230/lipics.approx/random.2025.18","title":"A Randomized Rounding Approach for DAG Edge Deletion","year":2025,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rounding; Bipartite graph; Directed acyclic graph; Vertex (graph theory); Directed graph; Complete bipartite graph; Graph; Enhanced Data Rates for GSM Evolution; Set (abstract data type)","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":[0.003133376,0.001413206,0.001763481,0.000848183,0.001201965,0.001888797,0.002913382,0.001538022,0.00555932],"category_scores_gemma":[0.01421485,0.0007360122,0.001342469,0.001768566,0.001206057,0.003258182,0.002446626,0.004183932,0.001686765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635034,"about_ca_system_score_gemma":0.002303379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660732,"about_ca_topic_score_gemma":0.003103937,"domain_scores_codex":[0.9961139,0.001698438,0.0001672608,0.0008678549,0.0006583077,0.0004940904],"domain_scores_gemma":[0.9927083,0.00430758,0.0005438126,0.001649143,0.0005072001,0.0002840921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001334439,0.0005063199,0.001688065,0.000338586,0.0001322016,0.0002899262,0.0002730922,0.6910345,0.006769499,0.08693741,0.01976499,0.190931],"study_design_scores_gemma":[0.0002046732,0.0001734438,0.0002337742,0.00003943732,0.00003408647,0.0001797747,0.00009445817,0.9097515,0.002888927,0.081035,0.005323348,0.0000415361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03320304,0.0006879002,0.9538949,0.001255977,0.000371694,0.0002381222,0.000626489,0.002279283,0.007442676],"genre_scores_gemma":[0.3876764,0.0004917365,0.6012791,0.001328254,0.000332,0.0005554286,0.001394379,0.0005841253,0.006358633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00555932,"threshold_uncertainty_score":0.01859778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299139336251356,"score_gpt":0.2822831772117847,"score_spread":0.2592917838492712,"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."}}