{"id":"W1598462167","doi":"","title":"Balanced allocations: balls-into-bins revisited and chains-into-bins","year":2007,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bin; Ball (mathematics); Combinatorics; Bounded function; Mathematics; Chain (unit); Set (abstract data type); Mathematical optimization; Discrete mathematics; Computer science; Algorithm; Physics; Geometry","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":[0.003641071,0.001409167,0.001762432,0.00103489,0.001476628,0.003101827,0.0039015,0.002279639,0.01885154],"category_scores_gemma":[0.02078756,0.001087021,0.001254993,0.00194935,0.002922214,0.008114778,0.003554182,0.003103592,0.00138602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741757,"about_ca_system_score_gemma":0.002008074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426008,"about_ca_topic_score_gemma":0.003245649,"domain_scores_codex":[0.9950287,0.002172629,0.0001664707,0.0006381079,0.0008576328,0.001136613],"domain_scores_gemma":[0.9915797,0.005030187,0.001064349,0.0009233696,0.0005941006,0.0008083883],"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":[0.0007391295,0.000298176,0.001653143,0.0002739094,0.00008936173,0.0002466174,0.0005704319,0.3749374,0.003164744,0.5740917,0.005842071,0.03809319],"study_design_scores_gemma":[0.0001161535,0.0001792392,0.0004578796,0.00006651136,0.00003482874,0.0001402504,0.0002631854,0.6302481,0.001231902,0.3606887,0.006534514,0.00003874862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1794511,0.00249233,0.7786212,0.002467489,0.0003482901,0.0003451076,0.000375288,0.0005009414,0.03539819],"genre_scores_gemma":[0.8681859,0.001299215,0.1113989,0.0006379525,0.0003079891,0.0004329747,0.0002417485,0.0005325205,0.01696275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01885154,"threshold_uncertainty_score":0.06306469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597906122040967,"score_gpt":0.3657497126521062,"score_spread":0.3297706514316965,"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."}}