{"id":"W2495684822","doi":"10.1007/978-3-319-20445-1","title":"Opportunistic Spectrum Utilization in Vehicular Communication Networks","year":2015,"lang":"en","type":"book","venue":"Springer briefs in electrical and computer engineering","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spectrum (functional analysis); Computer network; Telecommunications; Computer science; Business; Computer security; Physics","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":[0.0004013109,0.0005246532,0.000666422,0.0004918052,0.00002826767,0.00009882827,0.0003679671,0.0005558401,0.000007574069],"category_scores_gemma":[0.00001703444,0.0006367251,0.00007823636,0.0004609606,0.00003231756,0.0001279816,0.0001872821,0.001553723,0.000007493284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007869038,"about_ca_system_score_gemma":0.00008501214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609714,"about_ca_topic_score_gemma":0.00005045184,"domain_scores_codex":[0.9978757,0.00004376862,0.000623352,0.0004529914,0.0002853883,0.0007188362],"domain_scores_gemma":[0.9990711,0.0001231813,0.00006415541,0.0004891846,0.00003424928,0.0002181836],"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":[0.000005078014,0.00001934858,0.00009002117,0.0001043015,0.00004018897,0.0001142219,0.00003615551,0.9832518,0.000003162806,0.003545048,0.001879402,0.01091125],"study_design_scores_gemma":[0.000402628,0.00003959845,0.001013387,0.0004933343,0.00002335724,0.00004218471,3.667647e-7,0.9654362,0.000003948584,0.0008325051,0.03111171,0.0006008409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007303228,0.06493959,0.9032612,0.0001383235,0.001750256,0.001888511,0.00001308312,0.001987192,0.01871865],"genre_scores_gemma":[0.9498866,0.0205001,0.0124287,0.0003896748,0.003902044,0.000294301,0.00140474,0.001287335,0.009906503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9425834,"threshold_uncertainty_score":0.9996084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284837412922807,"score_gpt":0.1960714769539899,"score_spread":0.1832231028247618,"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."}}