{"id":"W7096070313","doi":"","title":"Reading Service Set Identifiers (SSIDs): Marking and Locating Public and Private Wireless Spaces","year":2013,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identifier; Wireless network; The Internet; Service set; Service provider; Unique identifier; Set (abstract data type); Wireless","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004182437,0.0005469418,0.0003970251,0.007137827,0.002249312,0.00323867,0.001602782,0.001008056,0.005142913],"category_scores_gemma":[0.03202331,0.0002949332,0.0002328411,0.008587861,0.0024146,0.006338078,0.002470053,0.0009330555,0.002421877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228297,"about_ca_system_score_gemma":0.004320044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04608399,"about_ca_topic_score_gemma":0.0579445,"domain_scores_codex":[0.9941802,0.002088624,0.0006404148,0.0003629564,0.002353152,0.0003747069],"domain_scores_gemma":[0.972122,0.009085742,0.005318236,0.004736088,0.008041538,0.0006964022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004138946,0.0001737612,0.1994101,0.0007777762,0.00004566732,0.0008666958,0.03710512,0.002856017,0.01702975,0.115202,0.05158671,0.5745326],"study_design_scores_gemma":[0.00007028958,0.0003771244,0.1524184,0.0009361394,0.0001459759,0.002757619,0.06353035,0.01823862,0.04827531,0.06815998,0.6446556,0.0004345389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5672463,0.002153063,0.2687199,0.006335362,0.001125104,0.001060766,0.01085165,0.00425415,0.1382536],"genre_scores_gemma":[0.8177844,0.001321562,0.1572663,0.0006294139,0.0001765481,0.0003356703,0.004460818,0.0003466713,0.01767853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04608399,"threshold_uncertainty_score":0.09163147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093883649392109,"score_gpt":0.2054253954364312,"score_spread":0.1944865589425101,"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."}}