{"id":"W1020431246","doi":"10.4018/ijmhci.2015070101","title":"Exploring Privacy Notification and Control Mechanisms for Proximity-Aware Tablets","year":2015,"lang":"en","type":"article","venue":"International Journal of Mobile Human Computer Interaction","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Context (archaeology); Workflow; Internet privacy; Confidentiality; Information privacy; Control (management); Information exchange; Computer security; Database","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":[0.004227625,0.0007911081,0.0007177569,0.0007354498,0.001317354,0.004213821,0.002296076,0.001806006,0.003473556],"category_scores_gemma":[0.0136505,0.0005682384,0.0009542851,0.0004252489,0.001978558,0.004434763,0.003343506,0.00216878,0.0004086929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009146939,"about_ca_system_score_gemma":0.0007063659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173915,"about_ca_topic_score_gemma":0.0008566268,"domain_scores_codex":[0.9947873,0.001871524,0.0005395615,0.0006153312,0.001640888,0.0005453259],"domain_scores_gemma":[0.9884979,0.006111392,0.001460371,0.00226334,0.001145679,0.0005213142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006633765,0.001568301,0.01521399,0.002857881,0.0004443341,0.005630164,0.01760205,0.03212187,0.38591,0.2157444,0.004991351,0.3112819],"study_design_scores_gemma":[0.001169462,0.003075207,0.01268391,0.0009927273,0.001060083,0.004473536,0.004838954,0.4106952,0.3813656,0.06321397,0.1157799,0.0006515434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.174185,0.001381004,0.8088822,0.001115543,0.0002323387,0.001032596,0.00008632573,0.002817184,0.01026783],"genre_scores_gemma":[0.9199263,0.0003717867,0.07551232,0.0003255385,0.00007285081,0.0002472447,0.00004317334,0.00007236817,0.003428487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004227625,"threshold_uncertainty_score":0.02235806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146921126157724,"score_gpt":0.3305672117292828,"score_spread":0.1836460855715588,"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."}}