{"id":"W2127816126","doi":"10.1145/2907052","title":"Better Balance by Being Biased","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Algorithms","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Approximation algorithm; Conjecture; Combinatorics; Mathematics; Constraint (computer-aided design); Discrete mathematics","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":[0.002751507,0.002418593,0.002850158,0.001507203,0.002530731,0.004222263,0.00315057,0.003147394,0.04983644],"category_scores_gemma":[0.01891506,0.001209035,0.001802187,0.002262589,0.00196609,0.01200298,0.006537118,0.003392517,0.01450584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085229,"about_ca_system_score_gemma":0.002383695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711396,"about_ca_topic_score_gemma":0.004991143,"domain_scores_codex":[0.9964699,0.0009058163,0.0001657679,0.001008251,0.0007282153,0.00072221],"domain_scores_gemma":[0.9936711,0.002446278,0.0004758761,0.002219199,0.0006659676,0.0005216138],"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":[0.002927317,0.000808524,0.01189074,0.0007257706,0.0003373126,0.0007917697,0.001654447,0.1218182,0.01965073,0.3595925,0.1182017,0.3616009],"study_design_scores_gemma":[0.0003992252,0.0002742519,0.001042425,0.0002028785,0.0001758612,0.0005134818,0.000790304,0.4154622,0.00799947,0.5176492,0.05540903,0.00008185529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2658714,0.00261094,0.5925273,0.009429837,0.001264424,0.0007280057,0.002514847,0.007990498,0.1170627],"genre_scores_gemma":[0.7064112,0.001036089,0.2313049,0.004169579,0.0004708304,0.0006273,0.002762461,0.002525984,0.05069172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04983644,"threshold_uncertainty_score":0.1667195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799228803662961,"score_gpt":0.2423846366341022,"score_spread":0.2243923485974726,"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."}}