{"id":"W2098900782","doi":"10.1007/3-540-45253-2_21","title":"I/O-Efficient Well-Separated Pair Decomposition and Its Applications","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Decomposition; Algorithm; Chemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002532855,0.00110067,0.0008076444,0.0008319815,0.0004269734,0.0008356702,0.0009024496,0.0005628145,0.009404919],"category_scores_gemma":[0.0007754361,0.0003722707,0.0004992111,0.0013462,0.0003373457,0.001555431,0.001711582,0.0009996593,0.002867435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194617,"about_ca_system_score_gemma":0.0002418636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002646465,"about_ca_topic_score_gemma":0.0004977721,"domain_scores_codex":[0.9997944,0.00004081689,0.000009429779,0.00004030783,0.0000742935,0.00004078145],"domain_scores_gemma":[0.9997644,0.00005979984,0.00001964974,0.00007189942,0.00005053765,0.0000337501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00120463,0.0003850815,0.0005574092,0.0003652181,0.00006296844,0.0002836047,0.0002831453,0.06827708,0.09828844,0.1588539,0.0275096,0.6439289],"study_design_scores_gemma":[0.000114064,0.0002522805,0.0004961576,0.00004146041,0.0000566014,0.000418012,0.0001435124,0.7717748,0.04491201,0.1590997,0.02264274,0.00004866435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02610067,0.001050337,0.9509411,0.0001456145,0.0001715397,0.00003544884,0.0001184751,0.001398721,0.02003813],"genre_scores_gemma":[0.2933829,0.0009938843,0.677604,0.0001708152,0.0001837174,0.0001278697,0.0005389009,0.0008086089,0.02618953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009404919,"threshold_uncertainty_score":0.03146261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135239076911697,"score_gpt":0.2565343242452294,"score_spread":0.2451819334761124,"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."}}