{"id":"W1974141524","doi":"10.1117/12.511337","title":"<title>Content adaptation architecture with efficient usage of cached data in a multimedia proxy server</title>","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Proxy server; Cache; Proxy (statistics); Architecture; Computer network; Content adaptation; Latency (audio); Adaptation (eye); Multimedia; Computer architecture; Operating system; Telecommunications; Ubiquitous computing","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":[0.0002942392,0.0002816648,0.0004485033,0.0003826158,0.0005008219,0.0008789322,0.001641789,0.0006240475,0.001481583],"category_scores_gemma":[0.0004330169,0.0001892332,0.000227387,0.0006016125,0.0003516965,0.0008434749,0.0004487428,0.0004579657,0.0009396623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548298,"about_ca_system_score_gemma":0.0005204069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002685902,"about_ca_topic_score_gemma":0.002322819,"domain_scores_codex":[0.9998294,0.00002828859,0.00002135881,0.00003976537,0.00004758589,0.00003362722],"domain_scores_gemma":[0.9996142,0.00003397696,0.00003275313,0.000111115,0.0001417399,0.00006616718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001520089,0.0006373376,0.005790932,0.0002164512,0.0001539308,0.001385717,0.0003540106,0.05524737,0.5907199,0.01395437,0.01552715,0.3144928],"study_design_scores_gemma":[0.00008534296,0.0003402437,0.00224305,0.00001541801,0.00009289459,0.0007101893,0.00005669501,0.7875394,0.1942795,0.001863747,0.01271488,0.00005867024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2639993,0.001160782,0.7098524,0.0004945167,0.0002185723,0.0002446256,0.0001435616,0.01316031,0.01072597],"genre_scores_gemma":[0.8660492,0.0003529844,0.1215534,0.000158431,0.00008549623,0.00008440417,0.0003414531,0.0001498598,0.01122484],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9985184,"threshold_uncertainty_score":0.005340517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130646668257501,"score_gpt":0.2185205328797354,"score_spread":0.1972140661971604,"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."}}