{"id":"W2743289809","doi":"10.14257/ijsia.2017.11.5.03","title":"Mobile App User Licensing with Little or No Backend Server","year":2017,"lang":"en","type":"article","venue":"International Journal of Security and Its Applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Mobile apps; Operating system; World Wide Web","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":[0.007183915,0.0009622726,0.0009627187,0.002862398,0.003829418,0.0082514,0.003489804,0.004448093,0.08345162],"category_scores_gemma":[0.04523147,0.00091471,0.0014821,0.001802868,0.004078901,0.01647606,0.01041307,0.00505384,0.08728313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507483,"about_ca_system_score_gemma":0.004839098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002843871,"about_ca_topic_score_gemma":0.002429427,"domain_scores_codex":[0.9879368,0.001669186,0.0009774335,0.001608797,0.005863695,0.001944118],"domain_scores_gemma":[0.9483448,0.008296468,0.002533678,0.02368851,0.0140156,0.003120927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008403978,0.001451683,0.01300561,0.000857903,0.0001059027,0.002128632,0.002731208,0.0004433008,0.02488429,0.2534233,0.2031498,0.4969781],"study_design_scores_gemma":[0.0001758336,0.0005921568,0.01669874,0.001036205,0.0001842306,0.007053836,0.001232415,0.003874524,0.02711546,0.06188705,0.8798615,0.000288002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09131454,0.002382323,0.06356627,0.0103659,0.002906147,0.001186577,0.001801383,0.01912444,0.8073525],"genre_scores_gemma":[0.4484076,0.001300182,0.01431408,0.005913637,0.00170941,0.00109164,0.002611886,0.003846325,0.5208053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08345162,"threshold_uncertainty_score":0.2791735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600736018877535,"score_gpt":0.2906695556797215,"score_spread":0.2746621954909461,"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."}}