{"id":"W3111141572","doi":"10.14778/3461535.3461552","title":"Are we ready for learned cardinality estimation?","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cardinality (data modeling); Inference; Focus (optics); Ask price; Domain (mathematical analysis); Workload; Data modeling","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":[0.0002591104,0.00009846999,0.0001856333,0.00002139974,0.0001427392,0.00004618672,0.0003480255,0.00002453854,0.000002802054],"category_scores_gemma":[0.0002338384,0.00006954681,0.00009262721,0.0002053447,0.0000350757,0.0003859179,0.0003558705,0.00005757762,0.000002549301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000470658,"about_ca_system_score_gemma":0.00003588518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001513958,"about_ca_topic_score_gemma":0.000003382444,"domain_scores_codex":[0.9990739,0.00000689199,0.0002260823,0.0002768573,0.0002479769,0.0001683179],"domain_scores_gemma":[0.9989714,0.00004187137,0.0003279828,0.0002446446,0.0003742687,0.00003982908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000165635,0.00008967053,0.001611922,0.0005185461,0.00005855727,0.000001271958,0.000691678,0.0002217164,0.01513472,0.9633622,0.008120652,0.01017254],"study_design_scores_gemma":[0.001145771,0.00009789975,0.003126415,0.0005861234,0.00005536728,0.00006740759,0.001663488,0.01045291,0.6115143,0.05933025,0.3115373,0.0004228036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03581718,0.001634345,0.9190651,0.03255054,0.001561349,0.001849527,0.0002081821,0.0003165605,0.0069972],"genre_scores_gemma":[0.6461959,0.00009010165,0.3505704,0.0003490755,0.0001376745,0.0002800625,0.000007231757,0.00001838522,0.002351191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9040319,"threshold_uncertainty_score":0.2836037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254020723674541,"score_gpt":0.3182425928154698,"score_spread":0.2457023855787244,"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."}}