{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010953,0.000140976,0.0002811191,0.00003605615,0.0003521206,0.000602795,0.000458254,0.00005047369,0.00004867333],"category_scores_gemma":[0.0000397976,0.0001214259,0.00008774022,0.0004693262,0.00001079769,0.0003271768,0.0002096487,0.0002655536,0.00004023463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006135611,"about_ca_system_score_gemma":0.0002145066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008267369,"about_ca_topic_score_gemma":0.0001571931,"domain_scores_codex":[0.9977928,0.0004508017,0.0004545269,0.0005037778,0.0002860776,0.0005119736],"domain_scores_gemma":[0.9991747,0.00005561163,0.000200755,0.0002644931,0.0001557496,0.0001487272],"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":[0.000002015841,0.00006318364,0.0005697588,0.00004921603,0.00003389977,0.0000568144,0.001799618,0.3726485,0.00000759,0.6068139,0.001382235,0.0165733],"study_design_scores_gemma":[0.0001477963,0.0001348851,0.00005735725,0.00007818241,0.000002240789,0.00004644013,0.0005607191,0.9874842,0.00001182631,0.000006800834,0.01132303,0.0001465889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001177956,0.00004145029,0.9864926,0.0002952133,0.0002319189,0.005803582,1.004783e-7,0.0004300626,0.005527067],"genre_scores_gemma":[0.9752336,6.592564e-7,0.01805182,0.0005646633,0.000441034,0.002414579,0.00000437343,0.00001286619,0.003276421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9740556,"threshold_uncertainty_score":0.5812766,"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."}}