{"id":"W4379933229","doi":"10.48550/arxiv.2306.04005","title":"Edge Addition and the Change in Kemeny's Constant","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Combinatorics; Vertex (graph theory); Mathematics; Graph; Constant (computer programming); Enhanced Data Rates for GSM Evolution; Random walk; Distance matrix; Discrete mathematics; Statistics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003739241,0.000714949,0.0008852678,0.003217685,0.001622704,0.002928849,0.002949267,0.001503136,0.00756864],"category_scores_gemma":[0.044836,0.0006295914,0.0009190982,0.002827407,0.004242095,0.008652841,0.00228029,0.00240087,0.0009233082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625261,"about_ca_system_score_gemma":0.001382119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462727,"about_ca_topic_score_gemma":0.002022738,"domain_scores_codex":[0.9972389,0.000558604,0.0001258804,0.0008212588,0.0006204933,0.0006349129],"domain_scores_gemma":[0.9455378,0.04270677,0.00307466,0.004715038,0.002079988,0.001885793],"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":[0.001229377,0.0001961595,0.0106481,0.0005634493,0.0001751387,0.0006508865,0.0009404099,0.1759926,0.02327619,0.7128502,0.008854433,0.06462318],"study_design_scores_gemma":[0.0001016772,0.0003323767,0.01113582,0.0001923088,0.0002293436,0.00144349,0.0005289321,0.3706079,0.02350557,0.5730305,0.01867027,0.0002218668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6319101,0.005310466,0.2692862,0.004737741,0.0003735228,0.00018341,0.001828432,0.001206261,0.08516379],"genre_scores_gemma":[0.9439056,0.001430042,0.04599732,0.0003287454,0.0001562231,0.0001447355,0.0002879821,0.000215542,0.007533896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00756864,"threshold_uncertainty_score":0.02531958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375193075662365,"score_gpt":0.1969338782784652,"score_spread":0.05941457071222872,"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."}}