{"id":"W1910053538","doi":"10.1109/ccece.1995.526603","title":"Design and implementation of a multimedia database server","year":2002,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Server; Multimedia database; Database design; Database server; Database; Architecture; Multimedia; Database theory; Data modeling; World Wide Web","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":[0.00133458,0.0004117419,0.0005819916,0.0007714494,0.0007378851,0.002640639,0.002972157,0.001371249,0.003691887],"category_scores_gemma":[0.001438214,0.0007281076,0.0003603102,0.0007373717,0.0003875851,0.001434927,0.0009883402,0.001036217,0.002865897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007276929,"about_ca_system_score_gemma":0.001534124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062846,"about_ca_topic_score_gemma":0.0006068792,"domain_scores_codex":[0.9990479,0.0001220452,0.000130257,0.0001579243,0.0004307068,0.0001111158],"domain_scores_gemma":[0.9991454,0.00008585663,0.00005662095,0.0001138868,0.0004485761,0.0001497718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009986482,0.0007176104,0.006367271,0.00166572,0.0002608393,0.001640987,0.001508227,0.03588997,0.2975185,0.123299,0.02005632,0.5100769],"study_design_scores_gemma":[0.0003175705,0.000960257,0.002395504,0.0002387561,0.0003419002,0.002801548,0.0004941017,0.2518994,0.3148609,0.01308822,0.4124477,0.0001541511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02235204,0.0007024788,0.9558302,0.000651623,0.0002274052,0.0008580618,0.0002520983,0.005279262,0.01384686],"genre_scores_gemma":[0.1785433,0.0008229743,0.8035358,0.0004607587,0.0001036656,0.0008591403,0.0007761475,0.0004216295,0.01447655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003691887,"threshold_uncertainty_score":0.01235056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09075490605456413,"score_gpt":0.377481403665187,"score_spread":0.2867264976106229,"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."}}