{"id":"W2318223161","doi":"10.1103/physrevlett.113.104301","title":"Optimal Fractal-Like Hierarchical Honeycombs","year":2014,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Honeycomb; Fractal; Metamaterial; Materials science; Honeycomb structure; Hierarchy; Vertex (graph theory); Hexagonal crystal system; Enhanced Data Rates for GSM Evolution; Base (topology); Topology (electrical circuits); Mathematics; Geometry; Statistical physics; Mathematical analysis; Combinatorics; Physics; Computer science; Composite material","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":[0.00007599507,0.0001054813,0.0001182492,0.0001970236,0.0001808099,0.0002828082,0.0001723588,0.0002012727,0.000971225],"category_scores_gemma":[0.0002912159,0.0001437619,0.0001136467,0.0000897916,0.0002917211,0.0002396245,0.0002077268,0.0001421579,0.0001811913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877836,"about_ca_system_score_gemma":0.0001169941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002305254,"about_ca_topic_score_gemma":0.0005719147,"domain_scores_codex":[0.9999422,0.000009863257,0.000003105981,0.00001035684,0.00001904067,0.00001537291],"domain_scores_gemma":[0.9998965,0.00002175874,0.00002229887,0.00002038331,0.0000208752,0.00001814114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001849899,0.0001004477,0.001927926,0.0001928945,0.00004315814,0.0002305002,0.0001468329,0.1410782,0.5928481,0.2292597,0.002020599,0.0319666],"study_design_scores_gemma":[0.0001094569,0.0002878056,0.003819639,0.00002661027,0.00003209805,0.0003438103,0.0001175684,0.7490587,0.1516939,0.08399271,0.0104724,0.00004539631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964591,0.0002887236,0.08638956,0.0001087229,0.00004710627,0.00002428405,0.00008509451,0.0001938023,0.0164035],"genre_scores_gemma":[0.9770408,0.00006983966,0.02144454,0.00002694704,0.00000499791,0.0000174866,0.00005167355,0.0000169547,0.001326592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000971225,"threshold_uncertainty_score":0.003249109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00472779826622742,"score_gpt":0.2225551233044929,"score_spread":0.2178273250382655,"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."}}