{"id":"W2952658091","doi":"10.1002/spe.2289","title":"Compressed bitmap indexes: beyond unions and intersections","year":2014,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bitmap; Computer science; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002017783,0.0001313132,0.0001262116,0.00007308005,0.0004607068,0.0003340897,0.0003627697,0.00005785283,0.00001026661],"category_scores_gemma":[0.0004700427,0.0001143811,0.00001510664,0.0002201902,0.0001511793,0.00260086,0.0005972032,0.0001811799,0.0000118109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009805948,"about_ca_system_score_gemma":0.0000234081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105742,"about_ca_topic_score_gemma":0.000008349101,"domain_scores_codex":[0.9989236,0.0000992592,0.0001559954,0.0004306794,0.0001829302,0.0002075283],"domain_scores_gemma":[0.998584,0.0006115767,0.00009622095,0.0004643345,0.00008788781,0.0001560365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007663436,0.0004853928,0.005971269,0.00008320459,0.00006326827,0.00004909188,0.06840532,0.00008559135,0.002955227,0.09156992,0.007651642,0.8226035],"study_design_scores_gemma":[0.001193431,0.0006397948,0.00741444,0.0001617523,0.00003846102,0.0006565494,0.007634459,0.06170084,0.001470883,0.01088633,0.907235,0.0009681256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02804389,0.0004879604,0.9685397,0.001492305,0.0003808852,0.00009645658,0.000004291065,0.0002072547,0.0007473272],"genre_scores_gemma":[0.8389775,0.0002792132,0.1585213,0.001956608,0.0001091249,0.00004126662,0.000005732312,0.000009871101,0.00009941827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8995833,"threshold_uncertainty_score":0.4664328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009517417444694493,"score_gpt":0.2661045583367833,"score_spread":0.2565871408920888,"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."}}