{"id":"W2057925838","doi":"10.1109/wimob.2010.5644866","title":"A new algorithm for backbone formation in ad hoc wireless networks of nodes with different transmission ranges","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless ad hoc network; Computer science; Computer network; Ad hoc wireless distribution service; Mobile ad hoc network; Optimized Link State Routing Protocol; Transmission (telecommunications); Vehicular ad hoc network; Wireless; Distributed computing; Telecommunications; Network packet","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":[0.001307778,0.001086277,0.001248808,0.001375827,0.001418215,0.001294968,0.003270126,0.001400787,0.002381569],"category_scores_gemma":[0.004160549,0.0005540304,0.0007237735,0.001729857,0.0009701941,0.003903271,0.002724198,0.001497636,0.001022947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101948,"about_ca_system_score_gemma":0.00143116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898458,"about_ca_topic_score_gemma":0.002068621,"domain_scores_codex":[0.9989156,0.0002348017,0.0000792357,0.0002276284,0.000441469,0.0001014274],"domain_scores_gemma":[0.9987202,0.0004999862,0.0001058718,0.0002575741,0.0003189431,0.00009752312],"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":[0.0002228034,0.0002382387,0.0007387534,0.0002780431,0.0001248812,0.0001755241,0.0003702787,0.2799532,0.01038593,0.06460948,0.01009295,0.6328099],"study_design_scores_gemma":[0.0001687746,0.0002097575,0.0001525159,0.00002963012,0.0000401621,0.0002803953,0.00007788961,0.9397343,0.003755631,0.03314364,0.02237388,0.00003337051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002636321,0.0001563871,0.9954489,0.00008116096,0.00007172745,0.0001136589,0.00002690808,0.0003877459,0.001077213],"genre_scores_gemma":[0.03447849,0.0001918232,0.9626438,0.00009365394,0.00006106274,0.0003819021,0.0001941469,0.0000964487,0.001858692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003270126,"threshold_uncertainty_score":0.007967114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770794741649661,"score_gpt":0.2169920274630271,"score_spread":0.2092840800465305,"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."}}