{"id":"W75293394","doi":"10.1007/978-3-642-28509-7_20","title":"Selective Propagation of Social Data in Decentralized Online Social Network","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Scalability; Computer science; Convergence (economics); Distributed computing; Order (exchange); Filter (signal processing); Social network (sociolinguistics); Architecture; Construct (python library); Decentralised system; Control (management); Social media; World Wide Web; Computer network; Artificial intelligence; Database; Business","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":[0.003548388,0.0005181427,0.001102824,0.002411838,0.001473997,0.001884585,0.001806071,0.001673893,0.001339594],"category_scores_gemma":[0.02328551,0.0009094445,0.0007692028,0.001979847,0.001532853,0.003345469,0.002683847,0.001353882,0.0004936325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190474,"about_ca_system_score_gemma":0.0008437977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933657,"about_ca_topic_score_gemma":0.003539571,"domain_scores_codex":[0.9975727,0.0009636571,0.0001064142,0.0003900946,0.0007619201,0.0002051893],"domain_scores_gemma":[0.9702726,0.02312968,0.001989568,0.002338381,0.001652039,0.0006177166],"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":[0.0006302986,0.0003035562,0.01469522,0.0005292566,0.0002672856,0.001250801,0.001765174,0.6346727,0.01916366,0.1949013,0.009845641,0.1219751],"study_design_scores_gemma":[0.00002403455,0.00004616185,0.001107953,0.0000115433,0.00003037394,0.0001538321,0.00008733862,0.9572261,0.001991764,0.03820941,0.0010945,0.00001697376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2340768,0.0007424711,0.7564393,0.001297077,0.0001176249,0.0001968704,0.0003843228,0.0008909899,0.005854584],"genre_scores_gemma":[0.9540631,0.0006108073,0.03778489,0.0001172577,0.0002023864,0.0001584752,0.0003374202,0.0001246927,0.006601061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003548388,"threshold_uncertainty_score":0.01876587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335435268894795,"score_gpt":0.2880670128832131,"score_spread":0.2545234859937336,"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."}}