{"id":"W2020789881","doi":"10.1109/bigdata.2013.6691768","title":"Index-based join operations in Hive","year":2013,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Join (topology); Computer science; Index (typography); Database; Computer graphics (images); World Wide Web; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002908881,0.0005890215,0.0009438535,0.0008391252,0.0009760946,0.003012777,0.002986608,0.00104185,0.004427516],"category_scores_gemma":[0.00627423,0.0006906442,0.0008540518,0.001574907,0.001418787,0.004372781,0.00326698,0.001683272,0.001339309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005971871,"about_ca_system_score_gemma":0.0009964391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292787,"about_ca_topic_score_gemma":0.001506609,"domain_scores_codex":[0.9976872,0.0003341459,0.0003162142,0.0004192407,0.0010174,0.0002258352],"domain_scores_gemma":[0.996509,0.001165407,0.0002102656,0.001549354,0.0004382392,0.0001277121],"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":[0.001809676,0.0009792027,0.007642733,0.001099661,0.0002609162,0.0007770192,0.001375407,0.06825064,0.1158704,0.2365305,0.04071,0.5246939],"study_design_scores_gemma":[0.000478023,0.0008551005,0.002242983,0.0001122768,0.0001301151,0.001474433,0.0004432067,0.559745,0.1588697,0.1331129,0.1422865,0.0002497829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01635066,0.000448684,0.9693559,0.0002665007,0.0001075374,0.0003317198,0.0004993546,0.007636621,0.005003086],"genre_scores_gemma":[0.1907429,0.0003708498,0.7988721,0.0004473419,0.0001340812,0.0004566536,0.00138028,0.001467272,0.00612846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004427516,"threshold_uncertainty_score":0.01538384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293356204079269,"score_gpt":0.206759016524319,"score_spread":0.1938254544835263,"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."}}