{"id":"W2043577274","doi":"10.1002/wcm.443","title":"Forward focus: using routing information to improve medium access control in ad hoc networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Packet forwarding; Wireless ad hoc network; Network packet; Optimized Link State Routing Protocol; Routing protocol; Routing (electronic design automation); Distributed computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008840532,0.0002294625,0.0003488004,0.0002236431,0.00058655,0.0008405361,0.001973649,0.000126128,0.000001137473],"category_scores_gemma":[0.00001613211,0.0002351646,0.00006157556,0.0008056655,0.0000705343,0.001319327,0.001912842,0.0003708504,0.000002544493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107914,"about_ca_system_score_gemma":0.00008469912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004184147,"about_ca_topic_score_gemma":0.0002096627,"domain_scores_codex":[0.9980035,0.0001973374,0.000772398,0.0003196303,0.0001940549,0.0005131262],"domain_scores_gemma":[0.9976564,0.0004206064,0.000347945,0.001283402,0.0001738239,0.0001178007],"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":[0.00001554169,0.00009195106,0.005265447,0.00003101199,0.00001459542,0.000001560431,0.000960917,0.1730291,0.0003145789,0.008079275,0.0001149398,0.8120812],"study_design_scores_gemma":[0.0008111073,0.00006593345,0.002570429,0.0002166426,0.000006145975,0.000006524881,0.00008755369,0.989759,0.00005284469,0.0003430475,0.005802286,0.0002784911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0459782,0.001032846,0.9484908,0.000562415,0.0001500039,0.003382402,0.000004292774,0.0001499774,0.0002490444],"genre_scores_gemma":[0.9692935,0.0001194798,0.02922938,0.0003774964,0.0001035118,0.0008444003,0.00001332551,0.00001512285,0.000003737476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9233153,"threshold_uncertainty_score":0.9589734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460295727876204,"score_gpt":0.2856872982169892,"score_spread":0.2710843409382271,"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."}}