{"id":"W2352553701","doi":"","title":"A Stationary Honeycomb Subdivision","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Computer science; Eigenvalues and eigenvectors; Circulant matrix; Mathematical optimization; Algorithm; Honeycomb; Matrix (chemical analysis); Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007415328,0.00009949836,0.00009746914,0.0001124319,0.00006366204,0.00001513309,0.0001589464,0.00004008128,0.00002107792],"category_scores_gemma":[1.831917e-7,0.0001035157,0.00004795509,0.0003926756,0.00002335346,0.00008224509,0.00003583715,0.00009595763,0.0001522196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000555352,"about_ca_system_score_gemma":0.000003163909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002483649,"about_ca_topic_score_gemma":0.000002472044,"domain_scores_codex":[0.9993821,0.000003841722,0.000202933,0.0001540146,0.00008196029,0.0001751952],"domain_scores_gemma":[0.9996374,0.0000527898,0.000021213,0.0001827378,0.00003981667,0.00006603223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002239529,0.00007881108,0.0003068356,0.00002341052,0.00003215906,0.000002309236,0.00009421852,0.002151854,0.06895354,0.004523729,0.007555783,0.9162751],"study_design_scores_gemma":[0.0001082696,0.00001127105,0.004384946,0.000006448539,0.00001141628,0.000008378021,0.00001210868,0.0091768,0.04440145,0.00644928,0.9351876,0.0002420569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004258343,0.0001597772,0.9926562,0.00003988868,0.000006350847,0.0002385824,0.000005472999,0.0009609542,0.001674408],"genre_scores_gemma":[0.2891389,0.00003410584,0.7102673,0.0001642367,0.0001055387,0.0001264403,0.00006263492,0.00002791604,0.00007290332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9276318,"threshold_uncertainty_score":0.4221248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002823172642651345,"score_gpt":0.2241226381804099,"score_spread":0.2212994655377586,"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."}}