{"id":"W2592468459","doi":"10.1007/11841036_5","title":"Dynamic Connectivity for Axis-Parallel Rectangles","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Intersection (aeronautics); Amortized analysis; Matrix multiplication; Graph; Data structure; Combinatorics; Time complexity; Range (aeronautics); Multiplication (music); Algorithm; Theoretical computer science; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008274246,0.0004583354,0.0004583834,0.0008224877,0.0003490846,0.0004686187,0.001767252,0.0002795373,0.000007965831],"category_scores_gemma":[0.0001183692,0.0004539517,0.0001827185,0.0005976214,0.0002981985,0.0005684576,0.0005224491,0.0003929598,0.0000194807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672793,"about_ca_system_score_gemma":0.0005656864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000179845,"about_ca_topic_score_gemma":0.0001778336,"domain_scores_codex":[0.9967667,0.00003158312,0.0004649409,0.001483872,0.0007059585,0.0005469102],"domain_scores_gemma":[0.9975241,0.0009190864,0.0002770927,0.000828283,0.0003390705,0.0001123614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001005033,0.00003859764,0.00001053698,0.00003787817,0.00001026694,0.00001582672,0.0001286555,0.3808441,0.000212704,0.04523563,0.0001547957,0.573301],"study_design_scores_gemma":[0.0002620652,0.0001839121,0.000122637,0.00008088975,0.000005628926,0.0000331815,3.451567e-8,0.7093055,0.0003417713,0.2864412,0.002784904,0.0004383321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001896439,0.0005768572,0.9936367,0.0007294075,0.001968171,0.0006566077,0.00001697974,0.0001777853,0.002047874],"genre_scores_gemma":[0.1329899,0.00002113718,0.8641972,0.0007619102,0.0004721019,0.00003940639,0.00005337289,0.0000342873,0.001430735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5728626,"threshold_uncertainty_score":0.9997912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482784886800144,"score_gpt":0.2521907775330842,"score_spread":0.2373629286650827,"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."}}