{"id":"W1982347450","doi":"10.1002/sec.24","title":"A secure business framework for file purchasing in vehicular networks","year":2008,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Upload; Dedicated short-range communications; Purchasing; File transfer; Computer security; Vehicular ad hoc network; Computer network; Wireless ad hoc network; Telecommunications; Operating system; Transfer (computing); Wireless; Business","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":[0.0003707901,0.0002914562,0.0003763415,0.00009473407,0.0003774182,0.00007178088,0.0004423891,0.0005138562,0.00006994675],"category_scores_gemma":[0.00007567056,0.0003360678,0.00008543456,0.0006833953,0.0001627601,0.0002436873,0.0001595786,0.001022938,0.000003001458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007872305,"about_ca_system_score_gemma":0.0000230784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003527532,"about_ca_topic_score_gemma":0.0002495093,"domain_scores_codex":[0.9984439,0.0001396378,0.0004163673,0.0002844884,0.0001423993,0.0005732044],"domain_scores_gemma":[0.9982502,0.0005872148,0.0000833523,0.0008375357,0.0001078071,0.0001338273],"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":[0.00002440058,0.0000495947,0.0003373013,0.00004646886,0.0000348133,0.000008067586,0.0009079379,0.9880173,0.000001333456,0.003319342,0.004440158,0.002813246],"study_design_scores_gemma":[0.0004620489,0.00001982781,0.002284914,0.0003548005,0.00001743916,0.00004956443,0.0001018967,0.9755147,0.000002841374,0.006373252,0.0144562,0.0003625004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2579863,0.06941919,0.6671932,0.0007604095,0.000592979,0.001767256,0.0000744826,0.0009202069,0.001285909],"genre_scores_gemma":[0.9799368,0.01140635,0.007285908,0.0002000793,0.0002865062,0.0002499039,0.0005507751,0.00007240146,0.00001130216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7219504,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999629724309491,"score_gpt":0.2114506130758901,"score_spread":0.2014543158327952,"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."}}