{"id":"W2003300496","doi":"10.5555/514151.514167","title":"Low power rendezvous in embedded wireless networks","year":2000,"lang":"en","type":"article","venue":"Mobile Ad Hoc Networking and Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Rendezvous; Computer science; Computer network; Sleep mode; Node (physics); Wireless; Server; Power (physics); Real-time computing; Power consumption; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006574577,0.0003480645,0.000475218,0.00009724579,0.0003558951,0.000354061,0.0006342661,0.0002041782,0.00004590349],"category_scores_gemma":[0.00000114421,0.0003527269,0.00009217941,0.0006990021,0.00009154341,0.0002090644,0.0002991374,0.0005591845,0.00001643522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004789749,"about_ca_system_score_gemma":0.00005022086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009216438,"about_ca_topic_score_gemma":0.00001282831,"domain_scores_codex":[0.9971823,0.0001640655,0.000593599,0.0008258002,0.00027929,0.0009549811],"domain_scores_gemma":[0.9987031,0.0002854082,0.0001520153,0.0005944229,0.00003931672,0.0002256857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002186186,0.00006686111,0.0005123973,0.000007656303,0.00001331805,0.0001694843,0.0008917919,0.05610247,0.000002205115,0.0002347696,0.0004625936,0.9415146],"study_design_scores_gemma":[0.0006029033,0.0001421133,0.000439392,0.000308678,0.000006634225,0.00009655402,0.00007932422,0.9891495,0.000002436049,0.0003599808,0.008383653,0.000428872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4810166,0.008718476,0.5015833,0.00006580149,0.0012211,0.0003526179,6.761296e-7,0.0004507212,0.006590657],"genre_scores_gemma":[0.9947971,0.001168267,0.002617965,0.0005302893,0.0005049331,0.00001720346,0.000006703161,0.00003155647,0.00032596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9410857,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006773329496542888,"score_gpt":0.2158569844696667,"score_spread":0.2090836549731238,"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."}}