{"id":"W2155787404","doi":"10.1109/ccece.1998.685569","title":"Designing and modeling a multimedia telelearning database","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":"University of Ottawa","funders":"","keywords":"Computer science; Multimedia; Multimedia database; Facilitator; Architecture; World Wide Web; Database server; Database schema; Schema (genetic algorithms); Database; Database design; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0028641,0.0005328915,0.0009547485,0.00120049,0.001388964,0.007224082,0.005822151,0.002098867,0.005636946],"category_scores_gemma":[0.004130412,0.00135857,0.001107553,0.001843584,0.0009343111,0.00555463,0.001460469,0.001989277,0.002121008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273185,"about_ca_system_score_gemma":0.003186157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356132,"about_ca_topic_score_gemma":0.01080271,"domain_scores_codex":[0.9974812,0.0004061983,0.0003353749,0.000596707,0.0009714994,0.0002091654],"domain_scores_gemma":[0.9978816,0.0005616572,0.0001468175,0.0003982557,0.0007862467,0.0002253681],"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":[0.001123497,0.001220726,0.02062494,0.001947623,0.0003232301,0.002453779,0.004447248,0.2298042,0.05484126,0.2849708,0.02851309,0.3697297],"study_design_scores_gemma":[0.0002600322,0.0003581262,0.001900151,0.0002888263,0.0002701281,0.001099778,0.0009690133,0.6798685,0.05375777,0.01716177,0.2439393,0.0001267044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03631326,0.001016258,0.9460722,0.0009127917,0.0001609008,0.001458227,0.001214835,0.003865501,0.008985956],"genre_scores_gemma":[0.1801187,0.001495426,0.7892091,0.0003950036,0.00008595957,0.001098487,0.005101718,0.0005864962,0.02190917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356132,"threshold_uncertainty_score":0.02696472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205184515778443,"score_gpt":0.3401261347418685,"score_spread":0.2196076831640242,"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."}}