{"id":"W7104289419","doi":"10.20382/jocg.v16i1a16","title":"Dynamic unit-disk range reporting","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amortized analysis; Data structure; Set (abstract data type); Range (aeronautics); Point (geometry); Range query (database); Constant (computer programming); Space (punctuation)","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":[0.0008512512,0.0001621553,0.0003246028,0.002502961,0.0002512613,0.0001355167,0.0007773469,0.00008442218,0.00002444066],"category_scores_gemma":[0.0003685498,0.0001749807,0.0002498415,0.003821888,0.00005176122,0.0009643398,0.0002079878,0.0002911613,0.000009063779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085167,"about_ca_system_score_gemma":0.0006800717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005324453,"about_ca_topic_score_gemma":0.000003021365,"domain_scores_codex":[0.9979132,0.0001393196,0.0008984558,0.0002590723,0.0005804811,0.0002094031],"domain_scores_gemma":[0.9965284,0.0004437108,0.00151668,0.0002059194,0.001179735,0.000125479],"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":[0.00009836434,0.0002322915,0.005366423,0.00005770655,0.0003121646,0.0004816053,0.0001854631,0.7483095,0.0003851444,0.1857888,0.002136161,0.05664642],"study_design_scores_gemma":[0.005318656,0.0005541511,0.1928468,0.0003890545,0.0002326112,0.0008799454,0.0005704639,0.5468658,0.0006022294,0.09463806,0.1561906,0.0009116709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1979842,0.0002352264,0.7955347,0.001279182,0.000772375,0.00007739645,0.000002783782,0.00004462585,0.004069435],"genre_scores_gemma":[0.8895568,0.00003412691,0.1071622,0.0003720601,0.00006766928,1.68362e-7,0.00001072882,0.000006197719,0.002790082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6915725,"threshold_uncertainty_score":0.7135504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413926672018933,"score_gpt":0.2553285371210601,"score_spread":0.2411892704008708,"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."}}