{"id":"W2901637374","doi":"10.1109/icsme.2018.00043","title":"Studying Permission Related Issues in Android Wearable Apps","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Permission; Wearable computer; Android (operating system); Computer science; Wearable technology; Mobile device; Human–computer interaction; App store; Internet privacy; World Wide Web; Computer security; Embedded system; Operating system","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":[0.00211587,0.0007937382,0.000623881,0.003471362,0.0007451401,0.001287654,0.0007569914,0.0009392143,0.0004347266],"category_scores_gemma":[0.02563126,0.0004918555,0.0006011614,0.002848804,0.0005698921,0.003793,0.001227776,0.001172415,0.0002729232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003954018,"about_ca_system_score_gemma":0.0007335396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380759,"about_ca_topic_score_gemma":0.008479817,"domain_scores_codex":[0.9929256,0.001173096,0.001139472,0.001279647,0.003056202,0.0004258743],"domain_scores_gemma":[0.9574772,0.02839926,0.006666435,0.002727001,0.004107585,0.0006225228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009812963,0.0008747296,0.72799,0.003375493,0.0002945772,0.005622415,0.01145659,0.004260127,0.03335143,0.001468131,0.01117486,0.1991504],"study_design_scores_gemma":[0.00009662203,0.0009117837,0.846448,0.0005721973,0.0003638422,0.008094285,0.006238831,0.0841182,0.01928089,0.002454967,0.03122949,0.0001908053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871216,0.003506169,0.005089775,0.0002728869,0.00008246615,0.0001523306,0.001224084,0.0008866319,0.001664012],"genre_scores_gemma":[0.9856642,0.00105683,0.007953193,0.0001706583,0.00008369044,0.0001362252,0.003568159,0.0001745112,0.001192529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005380759,"threshold_uncertainty_score":0.01118994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606575784773584,"score_gpt":0.2928483208304597,"score_spread":0.2767825629827239,"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."}}