{"id":"W2913008044","doi":"","title":"Proceedings of the 28th ACM symposium on Principles of distributed computing","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Computer science; Phone; Library science; Operations research; World Wide Web; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00543004,0.001782045,0.002782172,0.001101268,0.001508598,0.008147963,0.002755601,0.002116772,0.06103399],"category_scores_gemma":[0.009953659,0.001072733,0.001703752,0.001842993,0.002647684,0.005462483,0.003017779,0.008616094,0.04490194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979723,"about_ca_system_score_gemma":0.004368815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155988,"about_ca_topic_score_gemma":0.001405771,"domain_scores_codex":[0.9940348,0.0015901,0.0006730771,0.0008795936,0.002493134,0.0003292988],"domain_scores_gemma":[0.9940143,0.001966134,0.0002312232,0.001571375,0.001538205,0.0006787737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002569375,0.0001818315,0.001059219,0.001243485,0.0002752399,0.000295638,0.0005223482,0.002453297,0.003088573,0.1441733,0.6201545,0.2262956],"study_design_scores_gemma":[0.00003402235,0.00004764625,0.0002766339,0.0001883061,0.00003447833,0.0002577113,0.00004737258,0.002410412,0.0004092423,0.03056516,0.9657062,0.00002269314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003448557,0.06810196,0.5219651,0.02045187,0.06037782,0.002037241,0.002925974,0.007208474,0.3134831],"genre_scores_gemma":[0.04821698,0.07661534,0.3234193,0.01116757,0.02621251,0.002682045,0.008985615,0.00472594,0.4979746],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06103399,"threshold_uncertainty_score":0.204179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117093056594579,"score_gpt":0.2414063338891344,"score_spread":0.2202354033231886,"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."}}