{"id":"W4231178","doi":"","title":"Serverless Multimedia Discussion Assistant","year":2003,"lang":"de","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multimedia; Computer science; Videoconferencing; Teleconference; Instant messaging; Control (management); World Wide Web; Artificial intelligence","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":[0.001538004,0.0007755126,0.0006583335,0.0009659487,0.001145737,0.002578573,0.002628571,0.00179629,0.09032941],"category_scores_gemma":[0.004031331,0.0003774225,0.0005642895,0.0006842007,0.0002588543,0.00250106,0.00245503,0.0008444975,0.04184555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094992,"about_ca_system_score_gemma":0.0009623175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311317,"about_ca_topic_score_gemma":0.0004556025,"domain_scores_codex":[0.9984483,0.0004143187,0.0001293533,0.0003483677,0.0005014682,0.0001581958],"domain_scores_gemma":[0.9964491,0.0008725676,0.0001909459,0.0007669769,0.001088247,0.000632262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001850021,0.0007528734,0.001121427,0.0007056065,0.0000665909,0.0007058192,0.001143641,0.001263494,0.08951424,0.0158475,0.08607782,0.800951],"study_design_scores_gemma":[0.000369226,0.0007194898,0.001659636,0.00008508741,0.00008804265,0.00211941,0.0004091187,0.02535157,0.07207422,0.007732335,0.8892466,0.0001452897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04067961,0.001383055,0.7381606,0.001326323,0.001717167,0.001511141,0.001832901,0.06870365,0.1446856],"genre_scores_gemma":[0.2704789,0.0009823194,0.319683,0.001297158,0.001491282,0.001258342,0.002889882,0.002096739,0.3998224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09032941,"threshold_uncertainty_score":0.302182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662902094446223,"score_gpt":0.2351969770456965,"score_spread":0.2185679561012343,"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."}}