{"id":"W3182344762","doi":"10.1109/cbms52027.2021.00038","title":"Learning Health Systems: An Anonymous Network Routing Protocol","year":2021,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Identifier; Anonymity; Computer security; Routing protocol; Protocol (science); Compromise; Computer network; Identification (biology); Routing (electronic design automation)","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":[0.004758999,0.0004683461,0.0005103431,0.001086583,0.001240991,0.003182066,0.001802168,0.002023594,0.003509625],"category_scores_gemma":[0.008861574,0.0003132504,0.0005934889,0.001059939,0.00130355,0.00329921,0.002959437,0.00145996,0.001175954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675275,"about_ca_system_score_gemma":0.002303124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359148,"about_ca_topic_score_gemma":0.001300666,"domain_scores_codex":[0.9967402,0.001667109,0.0002786109,0.0003080373,0.0007563081,0.000249749],"domain_scores_gemma":[0.9965402,0.001794135,0.0003695187,0.0006482943,0.0005112128,0.0001366861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004487002,0.0001531265,0.0009418825,0.0002629207,0.00008344486,0.000464238,0.0006505802,0.1517903,0.008866182,0.6688251,0.01644895,0.1510644],"study_design_scores_gemma":[0.00007503281,0.0001775582,0.0002260315,0.00006009509,0.0000593974,0.0003550681,0.0001454746,0.7327526,0.006446443,0.2098942,0.04972793,0.00008015893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008120562,0.0002137342,0.9803399,0.001297881,0.0002028903,0.0003476193,0.0002166979,0.001075686,0.008184955],"genre_scores_gemma":[0.5438514,0.000894014,0.4341681,0.0009323435,0.0002919107,0.001420031,0.0008087291,0.0002812219,0.01735214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004758999,"threshold_uncertainty_score":0.0251683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903433363687668,"score_gpt":0.2875512252105611,"score_spread":0.2685168915736844,"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."}}