{"id":"W2063409721","doi":"10.1145/1621087.1621092","title":"A causal multicast protocol for dynamic groups in cellular networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Santé et des Services sociaux","keywords":"Multicast; Computer science; Distributed computing; Computer network; Protocol (science); Simple (philosophy); Communication in small groups; Internet Group Management Protocol; Overhead (engineering); Protocol Independent Multicast; Group (periodic table); Abstraction; Pragmatic General Multicast","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001793223,0.0001244467,0.0001761252,0.00004702192,0.00009071715,0.00005400447,0.000458423,0.00007438434,0.000007785533],"category_scores_gemma":[0.00001193801,0.0001041756,0.00005651282,0.0002840057,0.0000306893,0.0002402963,0.00007931581,0.00009499901,0.00001654046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004595974,"about_ca_system_score_gemma":0.0000394556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005634906,"about_ca_topic_score_gemma":0.0000856973,"domain_scores_codex":[0.9988572,0.00003125821,0.0002884466,0.0003387126,0.0001365921,0.0003478178],"domain_scores_gemma":[0.9994068,0.00004701673,0.00005677998,0.0003620624,0.000053563,0.00007377074],"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":[0.0007781569,0.006797617,0.04174108,0.001413484,0.0002025363,0.003063077,0.008108393,0.129748,0.008242177,0.5864148,0.07909211,0.1343986],"study_design_scores_gemma":[0.001388229,0.00006820892,0.002391557,0.00002979075,4.778569e-7,0.0000243837,0.000009047913,0.9856288,0.00006629178,0.0001402361,0.01009677,0.0001562528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001351253,0.000005003466,0.9390256,0.0001052231,0.000107296,0.05865098,0.000002990146,0.000102063,0.0006496224],"genre_scores_gemma":[0.7688593,3.040919e-7,0.0199955,0.0001086403,0.00005665734,0.2102807,0.000005551611,0.00001031786,0.0006830495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9190301,"threshold_uncertainty_score":0.4248159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316170898434055,"score_gpt":0.2824861383428416,"score_spread":0.259324429358501,"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."}}