{"id":"W2210788683","doi":"10.1017/s0308210515000360","title":"Clustering layers for the Fife—Greenlee problem in ℝ<i><sup>n</sup></i>","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Royal Society of Edinburgh Section A Mathematics","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Integer (computer science); Bounded function; Sequence (biology); Combinatorics; Zero (linguistics); Domain (mathematical analysis); Mathematics; Cluster analysis; Function (biology); Layer (electronics); Mathematical analysis; Discrete mathematics; Physics; Chemistry; Materials science; Computer science; Nanotechnology; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278062,0.0001991663,0.0003319946,0.00004176357,0.0001059933,0.00005519919,0.001077181,0.0001155341,0.000002621486],"category_scores_gemma":[0.0004525608,0.0001313042,0.0002735253,0.0004760957,0.0001017221,0.0002917945,0.0004522265,0.0002595801,2.753988e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201038,"about_ca_system_score_gemma":0.00004392033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009939999,"about_ca_topic_score_gemma":6.026441e-7,"domain_scores_codex":[0.9983291,0.000003147956,0.000609726,0.0002435856,0.0005066562,0.0003077721],"domain_scores_gemma":[0.9985008,0.0003723194,0.000392517,0.0002545877,0.0004111395,0.00006866032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001486187,0.0002131907,0.0001681061,0.001257975,0.00009214965,4.69128e-8,0.02597494,0.9534789,0.0009755858,0.007715432,0.009239014,0.000869834],"study_design_scores_gemma":[0.000437155,0.00005899754,0.00000561203,0.0003252257,0.00002378501,0.00000489677,0.002265718,0.9617717,0.001623884,0.03309788,0.0002500212,0.0001350973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01619833,0.00006840603,0.9809932,0.0008050725,0.0002310879,0.000767221,0.000001762384,0.0001040563,0.0008308769],"genre_scores_gemma":[0.304022,0.00001069274,0.6951973,0.00006573275,0.000154383,0.0001186427,1.563538e-7,0.00002600928,0.0004051151],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2878236,"threshold_uncertainty_score":0.5354429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718404767060815,"score_gpt":0.2470201727237807,"score_spread":0.2198361250531726,"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."}}