{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178227,0.001198105,0.0009123877,0.001487431,0.0006903888,0.001881495,0.001516528,0.001166513,0.005465883],"category_scores_gemma":[0.009651849,0.000560885,0.001045144,0.000764075,0.001623759,0.004279688,0.003490907,0.002534232,0.0009107548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342883,"about_ca_system_score_gemma":0.0004866122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003222294,"about_ca_topic_score_gemma":0.002370717,"domain_scores_codex":[0.998985,0.0002568436,0.00005106808,0.0002690646,0.0003214023,0.0001165887],"domain_scores_gemma":[0.9964989,0.001436941,0.0004952496,0.0006294655,0.0005050119,0.0004344089],"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":[0.0001540609,0.0000415723,0.002232592,0.0001552391,0.00005069271,0.0001885152,0.0003055798,0.1375068,0.005870742,0.8299976,0.002953102,0.02054353],"study_design_scores_gemma":[0.00001722855,0.00009099444,0.001125869,0.00003448726,0.00001624445,0.0001900481,0.0001029662,0.5884952,0.002751918,0.3991741,0.007956186,0.00004485368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1716547,0.001201548,0.807493,0.00120272,0.0001511499,0.00009067076,0.0006707621,0.0005772617,0.01695823],"genre_scores_gemma":[0.8054157,0.00122328,0.1647023,0.0003997286,0.0001680969,0.0002542953,0.00137277,0.0004386218,0.02602516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005465883,"threshold_uncertainty_score":0.01828521,"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."}}