{"id":"W3027437889","doi":"10.1112/blms.12657","title":"Stochastic approximation of lamplighter metrics","year":2022,"lang":"en","type":"article","venue":"Bulletin of the London Mathematical Society","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mathematics; Metric space; Lipschitz continuity; Embedding; Metric (unit); Combinatorics; Distortion (music); Upper and lower bounds; Discrete mathematics; Pure mathematics; Mathematical analysis; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007012667,0.00007313037,0.0001539498,0.00003233665,0.0001607291,0.00001800708,0.0006431887,0.00002565312,0.0002845907],"category_scores_gemma":[0.000169232,0.0000542748,0.0002193564,0.0005753319,0.00005031522,0.00002611873,0.0005836233,0.0001169968,0.00001062914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003762043,"about_ca_system_score_gemma":0.00003317953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002093952,"about_ca_topic_score_gemma":3.268853e-8,"domain_scores_codex":[0.9987316,0.00009864847,0.0003087277,0.0001480665,0.000605777,0.0001071641],"domain_scores_gemma":[0.9989479,0.0003784918,0.0002228909,0.0003272911,0.00009821582,0.00002524125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001042978,0.0005623255,0.0000209142,0.0002463809,0.00006631429,2.174513e-7,0.001951041,0.05407209,0.002292267,0.9082336,0.02800153,0.004542829],"study_design_scores_gemma":[0.0008982646,0.0001920348,0.0004420819,0.00004219021,0.00005545509,0.0000316842,0.0002132414,0.6793361,0.01040321,0.2860307,0.02207035,0.0002846882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02010059,0.00007998379,0.9756021,0.003235184,0.0001376563,0.0002279253,0.000005385039,0.00002412565,0.0005870723],"genre_scores_gemma":[0.8024654,0.000001877824,0.1960842,0.0003949189,0.00002956046,0.00004122572,0.0000034245,0.000007056895,0.0009724218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7823648,"threshold_uncertainty_score":0.3116069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476690440357643,"score_gpt":0.2241009109604611,"score_spread":0.2093340065568847,"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."}}