{"id":"W4233884817","doi":"10.22215/etd/2006-08465","title":"SIP-RTI: a high level architecture, runtime infrastructure build on a SIP-enabled conferencing mechanism","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"Government of Ontario; International Business Machines Corporation","keywords":"Architecture; Computer science; Operating system; Mechanism (biology); Art; Physics; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003874698,0.0004602534,0.000587975,0.0005898291,0.0007735782,0.0001586041,0.001319334,0.001445995,0.003254577],"category_scores_gemma":[0.0004792858,0.0004219936,0.0001738282,0.0005000246,0.0001672353,0.00007799354,0.00008929901,0.001327792,0.0001799639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231158,"about_ca_system_score_gemma":0.0007315929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02109747,"about_ca_topic_score_gemma":0.08930231,"domain_scores_codex":[0.9972861,0.0002971648,0.000524115,0.0005819808,0.0007040111,0.0006066667],"domain_scores_gemma":[0.997924,0.0003480924,0.0004409642,0.0008437117,0.0002939576,0.0001492224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006320037,0.000105229,0.00004441521,0.00004740387,0.00009064535,0.000006235973,0.004488296,0.0000350727,0.00238042,0.9533584,0.006062566,0.03331811],"study_design_scores_gemma":[0.002581683,0.0002858438,0.01041012,0.0004987885,0.0002541968,0.00000464254,0.01602547,0.0004563148,0.0180022,0.7050451,0.2440055,0.002430167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.200949,0.0001407423,0.002550625,0.003884043,0.002075311,0.001993319,0.0001123472,0.001639893,0.7866547],"genre_scores_gemma":[0.9135219,0.0001063754,0.009268001,0.0005309876,0.00026804,0.0001301903,0.001551099,0.00006736752,0.07455599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7125729,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095589083926699,"score_gpt":0.2991183218946203,"score_spread":0.2781624310553533,"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."}}