{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008191632,0.0008534225,0.0007448505,0.001572964,0.001164627,0.003514401,0.002532697,0.00126329,0.05032551],"category_scores_gemma":[0.003521275,0.0005848531,0.0007418515,0.002740452,0.0004934637,0.007111005,0.00341928,0.001593566,0.03521535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000897974,"about_ca_system_score_gemma":0.001331312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004847252,"about_ca_topic_score_gemma":0.006252232,"domain_scores_codex":[0.9988683,0.00008724805,0.00008037061,0.0002370802,0.0005822114,0.0001447665],"domain_scores_gemma":[0.9980044,0.0002294682,0.0001130132,0.0007999013,0.0006868435,0.0001663715],"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":[0.0004958879,0.0001549114,0.001928432,0.0007089223,0.00005506141,0.0002469355,0.0002883634,0.002427045,0.01293337,0.03625882,0.3800607,0.5644414],"study_design_scores_gemma":[0.0000547076,0.0001538948,0.001612249,0.0001348756,0.00003117068,0.0005408264,0.0001804228,0.01612487,0.01106899,0.013161,0.9568851,0.00005179829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03436228,0.01470694,0.3937466,0.006497454,0.004080633,0.001621705,0.04729829,0.09873191,0.3989542],"genre_scores_gemma":[0.1792362,0.01226156,0.3816926,0.004400195,0.00138185,0.001105993,0.1164107,0.008973623,0.2945373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9496745,"threshold_uncertainty_score":0,"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."}}