{"id":"W3217479643","doi":"10.1145/3503780.3503786","title":"VLDB Panel Summary","year":2021,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Very large database; SQL; Database; Point (geometry); World Wide Web; Mathematics education; Information retrieval","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001564046,0.0001851073,0.0002067318,0.0001110971,0.0001559555,0.0003120909,0.0006677005,0.0001003286,0.003141706],"category_scores_gemma":[0.0006502579,0.0001708346,0.00009195141,0.0006814601,0.00004974085,0.001183246,0.0007927201,0.0001708036,0.001967227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001596032,"about_ca_system_score_gemma":0.00004007764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004288989,"about_ca_topic_score_gemma":0.0002606048,"domain_scores_codex":[0.9987527,0.000008603651,0.0002539431,0.0004211456,0.0002300591,0.0003335436],"domain_scores_gemma":[0.9986682,0.00008008221,0.0001135664,0.0008761868,0.0002470394,0.00001493957],"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":[0.0000566444,0.0002361245,0.05648873,0.0003135662,0.00006032643,0.0002520658,0.0000231458,0.00001030823,0.005230614,0.01069142,0.3154403,0.6111968],"study_design_scores_gemma":[0.0001791259,0.000004171625,0.006992421,0.00008053386,0.00004218773,0.00001125663,0.00009541077,0.0004697776,0.001328021,0.01254375,0.9779194,0.0003339428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6782633,0.002647293,0.00885981,0.01905807,0.01235596,0.0005743751,0.00004334922,0.00116537,0.2770325],"genre_scores_gemma":[0.9552903,0.0005047677,0.003836684,0.01215709,0.006810564,0.00004412513,0.000610951,0.0001038014,0.02064173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6624791,"threshold_uncertainty_score":0.9988099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235782994575026,"score_gpt":0.2886061652908584,"score_spread":0.1650278658333558,"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."}}