{"id":"W2103317190","doi":"10.1007/s00453-005-1197-3","title":"I/O-Efficient Well-Separated Pair Decomposition and Applications","year":2006,"lang":"en","type":"article","venue":"Algorithmica","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Carleton University","funders":"","keywords":"sort; Combinatorics; Theory of computation; Mathematics; Sorting; Sorting algorithm; Dimension (graph theory); Set (abstract data type); Decomposition; Point (geometry); Discrete mathematics; Algorithm; Computer science; Arithmetic; Chemistry","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":[0.0001003974,0.00008082239,0.00006867346,0.00009672645,0.000180858,0.00009775475,0.0001458386,0.00003426959,0.000008668184],"category_scores_gemma":[0.000001997955,0.00008259247,0.00002398026,0.0004171083,0.00002405356,0.00008036943,0.00006095175,0.00004780713,0.00009011353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002382144,"about_ca_system_score_gemma":0.00002656078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002106656,"about_ca_topic_score_gemma":0.000001691935,"domain_scores_codex":[0.9992852,0.00002900352,0.0001501244,0.0002657328,0.0001403356,0.0001296243],"domain_scores_gemma":[0.999604,0.00005302045,0.00004650158,0.0001703498,0.00007937853,0.00004676195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000739048,0.0004777724,0.000211394,0.00001848402,0.00002553148,0.000009901992,0.00009389664,0.2071401,0.008635802,0.4678752,0.00884216,0.3066624],"study_design_scores_gemma":[0.0002130762,0.00002980077,0.004060902,0.000003222824,0.000005199106,0.00003217671,0.000002558861,0.9512108,0.00454697,0.009775866,0.02998335,0.0001360771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02768549,0.0002012578,0.9689949,0.0006471555,0.00009084072,0.0001918957,0.0000029095,0.0001436606,0.002041889],"genre_scores_gemma":[0.9054084,0.000002680976,0.09368899,0.0001744563,0.0002446099,0.00006428673,0.00005881857,0.00000516492,0.0003526145],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8777229,"threshold_uncertainty_score":0.3368023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004536547837923732,"score_gpt":0.2345241682267032,"score_spread":0.2299876203887795,"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."}}