{"id":"W2426280924","doi":"10.1145/2882903.2903729","title":"Page As You Go","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Column (typography); Parallel computing; Overhead (engineering); Virtual memory; Set (abstract data type); Working set; Memory management; Memory map; Interleaved memory; Page; Inverted index; Computer hardware; Operating system; Search engine indexing; Shared memory; Semiconductor memory; Information retrieval; Computer network","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":[],"category_scores_codex":[0.0001453449,0.00006074504,0.00005346314,0.00003675332,0.00005740783,0.00005871264,0.0006034644,0.000017094,0.00008611227],"category_scores_gemma":[0.00001592793,0.00003180311,0.00003756495,0.0001155108,0.00001649294,0.00001536521,0.0004469601,0.00002299526,0.002007272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541153,"about_ca_system_score_gemma":0.000008324202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614338,"about_ca_topic_score_gemma":0.000001209001,"domain_scores_codex":[0.999349,0.00001951159,0.00008290462,0.0002241559,0.0001487553,0.0001756554],"domain_scores_gemma":[0.9994165,0.00004430811,0.00002093688,0.0004482242,0.00001446729,0.00005558376],"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":[0.000001028449,0.00003500306,0.0003270405,0.000002920299,0.00001216917,0.00002621192,0.000161498,0.00002743463,0.0007022889,0.322852,0.02413459,0.6517178],"study_design_scores_gemma":[0.0007662385,0.0001701794,0.003078115,0.00005460851,0.00000476029,0.00002778029,0.00003665285,0.02758087,0.003852111,0.02313764,0.9408752,0.0004158708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1218153,0.0000311027,0.5244238,0.01567367,0.0003856213,0.00006938365,1.133368e-7,0.0005912047,0.3370098],"genre_scores_gemma":[0.8800023,0.000001910166,0.006231724,0.0009874994,0.00007923155,0.00000199879,2.91579e-8,0.000003614861,0.1126917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9167406,"threshold_uncertainty_score":0.9987698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115822272728533,"score_gpt":0.220087549252263,"score_spread":0.2089293265249777,"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."}}