{"id":"W1929692405","doi":"10.1109/ccece.1995.526604","title":"Modelling of multimedia data distributed in client/server networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Client–server model; Computer science; Architecture; Fat client; Multimedia; Server; Client; File server; Data modeling; Distributed database; Remote evaluation; World Wide Web; Distributed computing; Computer network; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0009485584,0.0006901422,0.0007894088,0.0006995102,0.0007226821,0.002201395,0.001988872,0.001554891,0.002128848],"category_scores_gemma":[0.002859562,0.0003793215,0.0006659724,0.001303242,0.0009548477,0.002234469,0.0009633639,0.001045378,0.0005093912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598866,"about_ca_system_score_gemma":0.00108702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008342241,"about_ca_topic_score_gemma":0.004677183,"domain_scores_codex":[0.9991907,0.0003062291,0.00004602942,0.00008397402,0.0002995321,0.00007354828],"domain_scores_gemma":[0.9990283,0.0005949045,0.00008932005,0.00007108289,0.0001734822,0.00004282693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004700372,0.00004287332,0.000508704,0.00007554738,0.00001798317,0.0001954328,0.0001645806,0.935307,0.001617983,0.05366971,0.0006353729,0.007717736],"study_design_scores_gemma":[0.000005311269,0.00001025508,0.00008907865,0.000007108953,0.000005525196,0.00004258003,0.00003098044,0.9885513,0.0004805944,0.009603111,0.001168026,0.000006067616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08766501,0.001455428,0.891399,0.001015696,0.0001306757,0.0002181905,0.0003527787,0.0004203117,0.01734295],"genre_scores_gemma":[0.868808,0.003257924,0.1066199,0.0001288866,0.000152445,0.0004856971,0.000577597,0.0001314296,0.0198382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008342241,"threshold_uncertainty_score":0.01658738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1965466633743289,"score_gpt":0.3404648892672429,"score_spread":0.1439182258929141,"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."}}