{"id":"W3184011463","doi":"10.14778/3476249.3476263","title":"LES <sup>3</sup>","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Search engine indexing; Computer science; Set (abstract data type); Pruning; Similarity (geometry); Bitmap; Nearest neighbor search; Representation (politics); Data mining; Encoding (memory); Theoretical computer science; Artificial intelligence","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":[0.0002041752,0.000106765,0.0001212981,0.0000437259,0.0001111355,0.0001906581,0.001353373,0.0000227048,0.0000346441],"category_scores_gemma":[0.00004950829,0.00007519621,0.00008833109,0.0004042796,0.00003617477,0.0004801562,0.001469076,0.00008473796,0.00002060018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003140432,"about_ca_system_score_gemma":0.00001734494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365104,"about_ca_topic_score_gemma":6.117592e-7,"domain_scores_codex":[0.9989479,0.000004928912,0.0001811694,0.0002903561,0.0003673373,0.0002083744],"domain_scores_gemma":[0.9994529,0.00001602236,0.0001018045,0.0002522951,0.0001360113,0.00004090229],"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":[0.000004925983,0.0002914217,0.003925877,0.0001790176,0.0001239182,0.000006568027,0.001500877,0.00008233967,0.00863394,0.7888961,0.03574667,0.1606084],"study_design_scores_gemma":[0.001707288,0.000156273,0.006893022,0.0003199696,0.0001000604,0.00005638725,0.00172095,0.04937824,0.5445997,0.04472356,0.3495947,0.0007498518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3465973,0.00201058,0.03541348,0.04595521,0.002050317,0.001901219,0.0000461916,0.0009623838,0.5650634],"genre_scores_gemma":[0.9484308,0.0001024669,0.04303889,0.0005595953,0.0001387212,0.0000365639,0.000002797325,0.00001351657,0.007676606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7441725,"threshold_uncertainty_score":0.3066412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984668302522739,"score_gpt":0.2299777485948897,"score_spread":0.2101310655696623,"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."}}