{"id":"W2033323609","doi":"10.1145/2594538.2594557","title":"Categorical range maxima queries","year":2014,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Computing and Communication Foundations","keywords":"Linear space; Maxima; Combinatorics; Iterated function; Position (finance); Mathematics; Element (criminal law); Range (aeronautics); Generalization; Categorical variable; Logarithm; Space (punctuation); Binary logarithm; Set (abstract data type); Discrete mathematics; Computer science; Mathematical analysis; 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":[0.0001088322,0.00006172057,0.00007519533,0.00002509844,0.00007424353,0.0001020491,0.0004954681,0.00002750321,0.00006871195],"category_scores_gemma":[0.00001951109,0.00004267614,0.00002296937,0.0001003986,0.00001873749,0.0003876261,0.0002966272,0.00004828866,0.0002429963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000716827,"about_ca_system_score_gemma":0.00001011438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007766902,"about_ca_topic_score_gemma":0.000003683265,"domain_scores_codex":[0.9994196,0.00002711352,0.0000816776,0.0001932728,0.0001390434,0.000139315],"domain_scores_gemma":[0.9994337,0.00004382987,0.00001779861,0.0004156656,0.00002389057,0.00006512212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001602335,0.00002905408,0.0003153322,0.000002710472,0.000001683635,0.00000390329,0.00006282555,0.000002433131,0.00006383975,0.8303775,0.01656174,0.1525773],"study_design_scores_gemma":[0.0003506921,0.0001211913,0.005837411,0.000004137979,0.000001877482,0.00002918238,0.000009471747,0.2821466,0.0006424368,0.04772431,0.6628836,0.0002490892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005060575,0.00002845023,0.9729152,0.0008617698,0.0002551082,0.00002908326,3.511706e-7,0.0001870816,0.02521694],"genre_scores_gemma":[0.693023,0.00001418328,0.3031942,0.0009477035,0.0002109016,0.000009322882,0.000004201175,0.000006719801,0.002589843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7826532,"threshold_uncertainty_score":0.3123307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008602459522003812,"score_gpt":0.2121012110855449,"score_spread":0.2034987515635411,"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."}}