{"id":"W2103162096","doi":"10.1109/icn.2007.76","title":"Proxy-Based Visual Content Repurposing Using Selection Algorithm","year":2007,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Repurposing; Computer science; Proxy (statistics); Metric (unit); Selection algorithm; Selection (genetic algorithm); Data mining; Computer network; Machine learning; Distributed computing; Engineering","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":[0.0005339929,0.0001039506,0.0001012325,0.000141246,0.0001837468,0.0001611962,0.00018986,0.00004767261,0.000005500491],"category_scores_gemma":[0.00001525516,0.00009425596,0.00007068642,0.0003180034,0.00001697661,0.0003052087,0.00005356996,0.0001133722,0.00001054148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203884,"about_ca_system_score_gemma":0.00007001973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003895131,"about_ca_topic_score_gemma":0.00002172517,"domain_scores_codex":[0.998926,0.00003317837,0.0002084188,0.000300845,0.0002475278,0.0002840368],"domain_scores_gemma":[0.999512,0.00004851759,0.00006525958,0.0001640459,0.0001301076,0.00008006296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003937511,0.0003283541,0.006496587,0.00001524305,0.00004240045,0.00008331062,0.0001750414,0.001186677,0.226809,0.005048613,0.0001912499,0.7595842],"study_design_scores_gemma":[0.0002797469,0.00009316688,0.0004830121,0.00002123825,0.000005356636,0.00004355068,0.00003052261,0.9587477,0.03982266,0.00003710855,0.0002938575,0.0001420481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.15196,0.00003921051,0.8465809,0.00006277805,0.0003319841,0.0001139918,1.59936e-7,0.0003041069,0.0006068803],"genre_scores_gemma":[0.8021464,4.612176e-7,0.1963165,0.0007506105,0.0001193301,0.000002075338,0.000001432612,0.000008713861,0.0006545698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9575611,"threshold_uncertainty_score":0.3843647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234214491571428,"score_gpt":0.2840745331046634,"score_spread":0.2417323881889491,"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."}}