{"id":"W201798103","doi":"10.1007/978-3-319-07557-0_16","title":"A $\\frac{5}{4}$ -Approximation for Subcubic 2EC Using Circulations","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Combinatorics; Approximation algorithm; Integer (computer science); Relaxation (psychology); Linear programming relaxation; Discrete mathematics; Linear programming; Algorithm; Computer science","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":[0.001307536,0.002496106,0.002309037,0.001962005,0.002301149,0.004698174,0.003945727,0.002510042,0.03966928],"category_scores_gemma":[0.005719037,0.0009598283,0.002559415,0.003534216,0.001739795,0.006570232,0.004962434,0.007329863,0.009818024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003760498,"about_ca_system_score_gemma":0.003085783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004831313,"about_ca_topic_score_gemma":0.009550758,"domain_scores_codex":[0.9982774,0.0002195909,0.0000708787,0.0003742308,0.0005799676,0.0004778497],"domain_scores_gemma":[0.9974682,0.001211036,0.0001129018,0.0007449123,0.0002716933,0.0001913334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001030316,0.0006688327,0.0013185,0.000861525,0.0001351317,0.0002445868,0.0004973217,0.02950038,0.008086164,0.5807261,0.08825604,0.2886751],"study_design_scores_gemma":[0.0001765002,0.0001053416,0.0005418912,0.0002241353,0.000171142,0.0003158012,0.0001598828,0.1248801,0.005452433,0.8246862,0.04323209,0.00005439853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1120174,0.003388466,0.6174705,0.006375053,0.001929941,0.0004538308,0.003120543,0.0088964,0.2463478],"genre_scores_gemma":[0.354769,0.002155856,0.5040607,0.003159735,0.0008406786,0.0007357764,0.005225904,0.0047782,0.1242742],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03966928,"threshold_uncertainty_score":0.1327069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149496949630287,"score_gpt":0.2730944437374828,"score_spread":0.2315994742411799,"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."}}