{"id":"W2996459922","doi":"","title":"Data Structures for Range-Aggregate Extent Queries.","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Aggregate (composite); Range (aeronautics); Computer science; Engineering; Materials science","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":[0.0001335966,0.00009010421,0.00009261243,0.00004527834,0.0001450816,0.0001259556,0.002219112,0.00001735293,0.00004480246],"category_scores_gemma":[0.00002343549,0.00006909338,0.00002543069,0.0001262678,0.00003972462,0.001311848,0.001141565,0.00003235566,0.00003043522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006243858,"about_ca_system_score_gemma":0.00002003359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003278434,"about_ca_topic_score_gemma":0.00001739923,"domain_scores_codex":[0.9991121,0.000009732073,0.0001186594,0.0003945153,0.000164108,0.0002008832],"domain_scores_gemma":[0.9984891,0.00002786026,0.00003772695,0.001369816,0.00002728152,0.00004825297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000866657,0.00004152687,0.0003107026,0.00002374183,0.00004277757,0.00004043945,0.0001330959,0.00001115758,0.00003780034,0.2981357,0.4678417,0.2333728],"study_design_scores_gemma":[0.0006966491,0.00005559733,0.003490477,0.000004993539,0.00000839873,0.0000209463,0.00001942034,0.09907631,0.0004485248,0.009909773,0.8859952,0.0002737207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007127514,0.0001537445,0.9934159,0.001147884,0.0004550742,0.0002269068,0.00008744795,0.0001964814,0.003603817],"genre_scores_gemma":[0.03449341,0.000254567,0.9457228,0.001719638,0.0003269892,0.00003099274,0.0003899747,0.00001635707,0.01704527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4181536,"threshold_uncertainty_score":0.4123699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07607027244695423,"score_gpt":0.2844721136917034,"score_spread":0.2084018412447491,"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."}}