{"id":"W1983880253","doi":"10.1145/1400751.1400809","title":"On ad hoc routing with guaranteed delivery","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Wireless ad hoc network; Overhead (engineering); Routing (electronic design automation); Logarithm; Computer network; Simple (philosophy); Optimized Link State Routing Protocol; Destination-Sequenced Distance Vector routing; Distributed computing; Mobile ad hoc network; Dynamic Source Routing; Routing protocol; Mathematics; Telecommunications; Wireless","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":[0.002282573,0.002658202,0.001500117,0.00195571,0.001154199,0.001471812,0.002694009,0.001444315,0.004355015],"category_scores_gemma":[0.009394892,0.0006957226,0.0007113426,0.003663633,0.002480759,0.006072495,0.0035698,0.002487392,0.001906347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237442,"about_ca_system_score_gemma":0.0007393665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008179156,"about_ca_topic_score_gemma":0.000592532,"domain_scores_codex":[0.998184,0.0007001797,0.000107523,0.0002001754,0.0005850689,0.0002229037],"domain_scores_gemma":[0.9956554,0.003176776,0.0001552063,0.0005825487,0.0003282776,0.0001016927],"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":[0.000698971,0.0001683765,0.0004570378,0.0008423364,0.00009763724,0.000430226,0.0002489519,0.2570004,0.007042279,0.359134,0.0178105,0.3560693],"study_design_scores_gemma":[0.0001665194,0.0004858736,0.0002128299,0.0001725541,0.00006901679,0.0006205839,0.000053275,0.5987096,0.00490213,0.3648361,0.02969769,0.00007381225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00606202,0.002987829,0.9808934,0.0006740123,0.000395934,0.0001472372,0.00006519343,0.0009094452,0.007864853],"genre_scores_gemma":[0.2607562,0.01397769,0.7081531,0.0009677472,0.001716121,0.001026542,0.0004134098,0.0005782122,0.01241088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004355015,"threshold_uncertainty_score":0.01456898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281366178191945,"score_gpt":0.1998339480842013,"score_spread":0.1870202863022818,"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."}}