{"id":"W4392399543","doi":"10.5220/0012450900003648","title":"PETRIoT - A Privacy Enhancing Technology Recommendation Framework for IoT Computing","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Internet of Things; Information privacy; Computer security; Internet privacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957439,0.00097758,0.0008224075,0.001564572,0.001223129,0.003068493,0.002405082,0.001541958,0.005208066],"category_scores_gemma":[0.00282807,0.0007146734,0.002017599,0.001247013,0.0007177052,0.004242274,0.002666862,0.002254232,0.002569292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206351,"about_ca_system_score_gemma":0.002681097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327455,"about_ca_topic_score_gemma":0.02217975,"domain_scores_codex":[0.9986798,0.0002323422,0.0001085701,0.0002371766,0.0005959622,0.0001461275],"domain_scores_gemma":[0.9990411,0.000221943,0.00006203725,0.0003519539,0.0001917135,0.0001311852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000539885,0.0004670703,0.004374262,0.000785184,0.0004271454,0.0009247314,0.0005092262,0.1460366,0.01615717,0.4795502,0.04470112,0.3055274],"study_design_scores_gemma":[0.00004499365,0.00007979375,0.0004603999,0.0001139758,0.0001151287,0.0003086039,0.0001026121,0.7218121,0.01454386,0.1554392,0.1068898,0.00008963498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00279169,0.000253176,0.9821078,0.0002853639,0.0001102633,0.0002211452,0.000694632,0.009648389,0.003887555],"genre_scores_gemma":[0.1439742,0.0009640782,0.8347176,0.0004383703,0.00007811932,0.0003366738,0.003271559,0.0010012,0.01521823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01327455,"threshold_uncertainty_score":0.02639455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531325624681617,"score_gpt":0.33193281825432,"score_spread":0.2966195620075038,"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."}}