{"id":"W4361999850","doi":"10.1007/978-3-031-30122-3_23","title":"If-This-Then-Allow-That (to Phone Home): A Trigger-Based Network Policy Enforcement Framework for Smart Homes","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Computer science; Smart phone; Phone; Enforcement; Computer security; Home automation; Computer network; Telecommunications","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00215184,0.000999333,0.001264739,0.001865584,0.0005708266,0.001176136,0.00516146,0.0006247831,0.00006748438],"category_scores_gemma":[0.0003258527,0.0008997315,0.0006740546,0.002238665,0.0003569603,0.0003408057,0.001442953,0.001088224,0.0002042743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446851,"about_ca_system_score_gemma":0.001091931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006460338,"about_ca_topic_score_gemma":0.0001640239,"domain_scores_codex":[0.9929163,0.00006598101,0.001010371,0.002480672,0.001725947,0.001800688],"domain_scores_gemma":[0.9951185,0.002027815,0.0005558598,0.001470552,0.0003777067,0.0004495548],"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":[0.00002773395,0.00003724898,0.00001363356,0.00006972883,0.00007176981,0.00004302304,0.001460575,0.4509852,0.000003679022,0.4085719,0.0007243545,0.1379911],"study_design_scores_gemma":[0.000460892,0.0003849191,0.00001494567,0.001168641,0.00003364987,0.000008688706,7.859293e-7,0.9200206,0.0001375872,0.06748234,0.009185378,0.001101611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004641308,0.0002353261,0.9907714,0.002918456,0.003871669,0.001032594,0.00001401768,0.0004650866,0.0006450879],"genre_scores_gemma":[0.369637,0.00003770752,0.6159349,0.008099932,0.003349196,0.0001157638,0.00003082139,0.0001405799,0.002654105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4690353,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164158440238799,"score_gpt":0.2680468960310966,"score_spread":0.2464053116287086,"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."}}