{"id":"W2377234835","doi":"","title":"Eliminating R_TTL circle:a solution to reduce redundant messages in Gnutella network","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Protocol (science); Redundancy (engineering); Distributed computing; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004414907,0.0002667221,0.0002842845,0.0003874241,0.0003192368,0.0002692453,0.002329584,0.0001453079,0.000001784961],"category_scores_gemma":[0.000006452546,0.0003219717,0.00007324035,0.00277427,0.00005905226,0.000270554,0.001382514,0.0003143519,0.0003051486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498821,"about_ca_system_score_gemma":0.0001059587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007002974,"about_ca_topic_score_gemma":0.00008882028,"domain_scores_codex":[0.9973537,0.00004333828,0.0005154936,0.001008507,0.0002663594,0.0008126163],"domain_scores_gemma":[0.998358,0.00007605071,0.0001222297,0.001136045,0.0001270316,0.0001807047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004154737,0.0001704321,0.00009882375,0.0000172302,0.00001526605,0.00001092533,0.0007675689,0.07796263,0.02212891,0.02747241,0.01476482,0.8565868],"study_design_scores_gemma":[0.002453462,0.0004766511,0.0504077,0.0009338232,0.00003951829,0.0003348038,0.0001479509,0.02272278,0.1017853,0.1701811,0.6472279,0.003289022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01317133,0.0001937619,0.9621451,0.02163623,0.00008876074,0.001341495,0.000003776618,0.0009586284,0.0004609053],"genre_scores_gemma":[0.2494833,0.00001377388,0.7480698,0.001203744,0.0002683172,0.0008380555,0.000008454899,0.00002311013,0.00009137159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8532978,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215047040279889,"score_gpt":0.2603477419418864,"score_spread":0.2481972715390875,"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."}}