{"id":"W2077734953","doi":"10.1016/j.tcs.2013.08.011","title":"Randomised broadcasting: Memory vs. randomness","year":2013,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Node (physics); Randomness; Broadcasting (networking); Computer science; Degree (music); Upper and lower bounds; Binary logarithm; Channel (broadcasting); Mathematics; Combinatorics; Discrete mathematics; Algorithm; Computer network; Theoretical computer science; Statistics","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":[0.006907916,0.0007418137,0.002079346,0.001470068,0.002253217,0.004225474,0.003255605,0.003501731,0.009603726],"category_scores_gemma":[0.0601124,0.0008825681,0.001129194,0.001981012,0.006058808,0.0115717,0.004248761,0.00398849,0.001195631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928152,"about_ca_system_score_gemma":0.003273707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654442,"about_ca_topic_score_gemma":0.001538709,"domain_scores_codex":[0.9929531,0.003566013,0.0003245847,0.0009286757,0.001135132,0.00109243],"domain_scores_gemma":[0.9067307,0.07228342,0.003517461,0.01294677,0.002954444,0.001567146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008301832,0.00005913117,0.0007144737,0.0002221721,0.00004987575,0.0001121906,0.0002621775,0.03483057,0.001494506,0.9358879,0.005820804,0.01971589],"study_design_scores_gemma":[0.000200194,0.000134259,0.0001852139,0.00007609082,0.00004996043,0.000185736,0.00008356606,0.08582408,0.001402003,0.9081434,0.003655745,0.00005979999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1832082,0.005615813,0.7262269,0.01417212,0.001323467,0.000286998,0.001047282,0.00123878,0.06688047],"genre_scores_gemma":[0.944747,0.001946736,0.03473076,0.001423729,0.001094257,0.0002985268,0.0003715414,0.0003101007,0.01507734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009603726,"threshold_uncertainty_score":0.03653294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007172847384616654,"score_gpt":0.2201245256177156,"score_spread":0.212951678233099,"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."}}