{"id":"W2034824620","doi":"10.1109/aina.2014.63","title":"New Heuristic for Message Broadcasting in Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Heuristic; Computer science; Consistent heuristic; Internet topology; Broadcasting (networking); Hypercube; Path (computing); Shortest path problem; Null-move heuristic; The Internet; Cube (algebra); Theoretical computer science; Network topology; Distributed computing; Algorithm; Computer network; Incremental heuristic search; Mathematics; Parallel computing; Graph; Combinatorics; Search algorithm; Artificial intelligence","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":[0.001090589,0.0005906702,0.0008604726,0.001252612,0.001081881,0.0009290543,0.001728828,0.001117814,0.004253116],"category_scores_gemma":[0.004166355,0.0003835513,0.000465477,0.001137157,0.001021885,0.001640864,0.001068321,0.0008979218,0.0008340716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169084,"about_ca_system_score_gemma":0.001390637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955782,"about_ca_topic_score_gemma":0.001852715,"domain_scores_codex":[0.9989734,0.0004024302,0.00004440744,0.0001315956,0.0002911616,0.000156991],"domain_scores_gemma":[0.9981186,0.001130395,0.0001075219,0.0003401721,0.000196705,0.0001066359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006080018,0.0002538673,0.000944955,0.000415767,0.00009262512,0.0003004029,0.000532625,0.5391026,0.01610424,0.1167036,0.01887452,0.3060668],"study_design_scores_gemma":[0.0001821193,0.0001384003,0.000166243,0.000041251,0.00004621149,0.0002051449,0.000128018,0.9213905,0.007423383,0.05324068,0.01700389,0.00003426083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02472724,0.0005329965,0.964655,0.0003467566,0.0001471863,0.0002165288,0.0001146288,0.001177523,0.008082056],"genre_scores_gemma":[0.3179736,0.0004541776,0.6744391,0.0002539482,0.000123395,0.0004875285,0.0005251502,0.0003541361,0.005388991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004253116,"threshold_uncertainty_score":0.01422811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273789669538905,"score_gpt":0.2318084501069536,"score_spread":0.2190705534115646,"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."}}