{"id":"W4317767825","doi":"10.14778/3570690.3570704","title":"FILM","year":2022,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Search engine indexing; Overhead (engineering); Data structure; Range query (database); Parallel computing; Auxiliary memory; Database; Distributed computing; Information retrieval; Operating system; Sargable; Search engine; Web search query","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":[0.0001854244,0.00008196872,0.00009648458,0.00006665917,0.0002213395,0.00002768872,0.002763104,0.00001291277,0.0000238791],"category_scores_gemma":[0.00007652559,0.00006030653,0.00005239361,0.0004947527,0.00005906963,0.0002964314,0.004443395,0.0001688296,0.000004578487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094206,"about_ca_system_score_gemma":0.0000166305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007552504,"about_ca_topic_score_gemma":1.922421e-7,"domain_scores_codex":[0.9990395,0.000003404843,0.0001460599,0.0002321537,0.0003977351,0.0001811219],"domain_scores_gemma":[0.999455,0.00001853254,0.0001670361,0.0002957349,0.00004514278,0.00001855381],"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":[0.000008838451,0.0001361407,0.0009539518,0.00003029165,0.00002421159,0.000001758685,0.000835421,0.0003992952,0.04982453,0.8955407,0.03075789,0.02148697],"study_design_scores_gemma":[0.0006821784,0.0003495337,0.001012897,0.00002486895,0.00001511604,0.00009711571,0.001754886,0.005205652,0.5828691,0.2305724,0.1770245,0.0003918469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6322379,0.003234373,0.134965,0.07321092,0.006766968,0.005646385,0.0002496625,0.006957941,0.1367309],"genre_scores_gemma":[0.965202,0.00001000832,0.03390148,0.0002424388,0.00001097722,0.0001339222,3.883223e-7,0.000006235781,0.0004924933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6649683,"threshold_uncertainty_score":0.5538375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216340100241297,"score_gpt":0.2179784930603923,"score_spread":0.2058150920579793,"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."}}