{"id":"W129298735","doi":"10.1007/978-3-540-39611-6_4","title":"On-demand Routing in MANETs: The Impact of a Realistic Physical Layer Model","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Layer (electronics); Routing (electronic design automation); Physical layer; Computer network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001111281,0.0005436835,0.0006726307,0.0004192856,0.0001390705,0.0002463078,0.003379504,0.0002399848,0.000005938826],"category_scores_gemma":[0.0001237309,0.0003644602,0.0002292586,0.0007559828,0.0006000392,0.0002857674,0.0008431037,0.001172925,0.000009126808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127667,"about_ca_system_score_gemma":0.0004715446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008730434,"about_ca_topic_score_gemma":0.00006156229,"domain_scores_codex":[0.9964144,0.00008949515,0.000555962,0.00127195,0.000921206,0.0007469671],"domain_scores_gemma":[0.9963593,0.001221057,0.0003666476,0.001804046,0.00012755,0.0001213556],"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":[0.000006477661,0.00004401797,0.00002546212,0.000009995999,0.000008446257,0.00003443591,0.0008303373,0.8924894,0.00002726258,0.07079957,0.00005059398,0.03567399],"study_design_scores_gemma":[0.0001697199,0.0001546218,0.0000895038,0.0002768601,0.000003937005,0.00002228197,6.45873e-8,0.7387649,0.00006103537,0.2601783,0.000004411178,0.0002743964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001628575,0.0001058198,0.993372,0.000202151,0.0003162185,0.0004732051,0.00000532371,0.00004504816,0.003851618],"genre_scores_gemma":[0.9690047,0.00001538729,0.02991567,0.0007480803,0.0001892032,0.0000124087,0.000001794103,0.00003171606,0.00008103167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9673761,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011783360228038,"score_gpt":0.2748774028256888,"score_spread":0.2547595692234084,"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."}}