{"id":"W3093993395","doi":"","title":"From Steklov to Neumann via homogenisation","year":2020,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Mathematics; Eigenvalues and eigenvectors; Isoperimetric inequality; Mathematical analysis; Neumann boundary condition; Domain (mathematical analysis); Boundary (topology); Euclidean space; Corollary; Pure mathematics; Physics","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":[0.0006458249,0.0004785773,0.0003964584,0.000991744,0.0006759633,0.001340945,0.0007819236,0.0008437817,0.002063004],"category_scores_gemma":[0.002607784,0.0003669526,0.0005225285,0.0002900251,0.003431971,0.002021256,0.003100475,0.001288927,0.0002908752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756689,"about_ca_system_score_gemma":0.0003181845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006226799,"about_ca_topic_score_gemma":0.0004552681,"domain_scores_codex":[0.999579,0.0001168493,0.00001499698,0.00007375305,0.0001316451,0.00008372464],"domain_scores_gemma":[0.9991531,0.0003865429,0.0001635291,0.00009539277,0.0001046104,0.00009682164],"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":[0.00005026261,0.00003993543,0.0006584283,0.00009117064,0.00001760951,0.0002404449,0.0005906195,0.04801874,0.0139618,0.9289342,0.0005400655,0.006856768],"study_design_scores_gemma":[0.00001989084,0.00009650783,0.0005443468,0.00003558243,0.000009250381,0.0003157138,0.0003193373,0.3049419,0.006951265,0.6839908,0.002749835,0.00002554887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4569618,0.0008706907,0.4824189,0.001116094,0.0001108151,0.00006716552,0.00004403068,0.0001471677,0.05826342],"genre_scores_gemma":[0.9704114,0.0002979267,0.01939597,0.0001187095,0.00006879408,0.00005253711,0.00003465858,0.00009016942,0.00952981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002063004,"threshold_uncertainty_score":0.006901443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313552307574572,"score_gpt":0.1922482921208243,"score_spread":0.1791127690450786,"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."}}