{"id":"W2032555056","doi":"10.1504/ijamc.2008.020180","title":"Scalability measurement of a proxy-based multimedia content repurposing system","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Repurposing; Scalability; Proxy (statistics); Multimedia; Computer network; World Wide Web; Database; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00148676,0.0006110366,0.0009389284,0.001023051,0.0006556101,0.0006936177,0.001134184,0.0007910689,0.001178112],"category_scores_gemma":[0.004478365,0.0002153611,0.0002631237,0.0009435819,0.0004932898,0.001423928,0.0006282823,0.000553473,0.0003278849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061596,"about_ca_system_score_gemma":0.0005480006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002920396,"about_ca_topic_score_gemma":0.0009681715,"domain_scores_codex":[0.9981081,0.0005475033,0.0001512447,0.0002170103,0.0007531366,0.0002228893],"domain_scores_gemma":[0.9959473,0.001106136,0.0002919267,0.000651966,0.001486735,0.0005159596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004100984,0.001984016,0.02505365,0.0007348669,0.0003841714,0.001419227,0.0008564536,0.2247319,0.5928926,0.003935816,0.003146682,0.1407596],"study_design_scores_gemma":[0.0001134597,0.00195429,0.009574969,0.0000158936,0.0001151558,0.0003434596,0.0002565944,0.8509932,0.1351876,0.0003432846,0.001037555,0.00006440821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577516,0.0004064029,0.03622152,0.00009894332,0.00004990308,0.0002324635,0.0001074918,0.0023038,0.002827928],"genre_scores_gemma":[0.9936959,0.00006154037,0.005852007,0.00001345978,0.000007598216,0.00003055384,0.00008298238,0.00001734399,0.0002386372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002920396,"threshold_uncertainty_score":0.007862866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745059848511044,"score_gpt":0.2672064342750466,"score_spread":0.2197558357899362,"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."}}