{"id":"W3174126363","doi":"10.65109/bnke8963","title":"Constructing Junction Tree Agent Organization with Privacy","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Tree (set theory); Computer science; Computer security; Internet privacy; Business; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000404048,0.0000468868,0.00004590033,0.00001981052,0.00009962918,0.0001704018,0.0001766878,0.00001466533,0.00005552281],"category_scores_gemma":[0.00002948447,0.00003833686,0.000006948056,0.0006257173,0.00001292392,0.0002951979,0.0001187837,0.00003530565,0.00004804489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002371139,"about_ca_system_score_gemma":0.00007321827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016238,"about_ca_topic_score_gemma":0.00001660764,"domain_scores_codex":[0.9995183,0.00001014453,0.00007918978,0.0002129846,0.00009915464,0.00008026037],"domain_scores_gemma":[0.9994388,0.00001673759,0.00003425577,0.0003309186,0.0001452479,0.00003406563],"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":[3.306948e-7,0.0000507632,0.004121257,0.000004486003,0.00001362741,0.00001015645,0.0002607294,0.00001550108,0.001089392,0.3255348,0.002683109,0.6662158],"study_design_scores_gemma":[0.002860626,0.000273278,0.05329023,0.00011488,0.00008878507,0.00227839,0.004332845,0.4195931,0.3485141,0.00681783,0.160178,0.001657952],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008126411,0.000005493701,0.9829013,0.00171743,0.00008486925,0.00003542916,7.880095e-7,0.0001626123,0.006965716],"genre_scores_gemma":[0.1715599,0.000004429093,0.8262617,0.000226477,0.00004938257,0.000005440503,0.00005454218,0.000006632164,0.001831449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6645579,"threshold_uncertainty_score":0.1643188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354846186179621,"score_gpt":0.2203844915591648,"score_spread":0.2068360296973686,"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."}}