{"id":"W2971034520","doi":"10.1109/cloud.2019.00026","title":"Children Privacy Identification System in LINE Chatbot for Smart Toys","year":2019,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Chatbot; Identification (biology); Internet privacy; Computer science; Privacy policy; Information privacy; Smart device; Computer security; Privacy software; World Wide Web; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.001189395,0.00006863262,0.0001148571,0.00009166474,0.0001794146,0.0001050782,0.000389683,0.00009687259,0.00006204392],"category_scores_gemma":[0.0003079078,0.00006658708,0.0000415197,0.0002229391,0.00002883196,0.0004526848,0.0000893524,0.0000680947,0.0002619571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448157,"about_ca_system_score_gemma":0.00006453904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006103776,"about_ca_topic_score_gemma":0.002388101,"domain_scores_codex":[0.9990153,0.00008672467,0.0002307945,0.0002524271,0.0001996973,0.0002150521],"domain_scores_gemma":[0.9994162,0.00004999951,0.00008531304,0.0003332955,0.00006447655,0.00005066946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002478056,0.0006848835,0.3108899,0.0005740475,0.00008240613,0.000001328957,0.02583508,0.00002923685,0.006354457,0.5914282,0.01249488,0.05137783],"study_design_scores_gemma":[0.005923823,0.0004646133,0.7283437,0.000347656,0.00007504827,0.000008083241,0.01697757,0.008007133,0.01429161,0.03447664,0.1895128,0.001571316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684945,0.0001158432,0.01375378,0.00230687,0.001320327,0.003241116,0.00004004017,0.0002883779,0.01043916],"genre_scores_gemma":[0.9972544,0.00002827046,0.0004176128,0.00004993842,0.000377833,0.00008743013,0.00007306341,0.000007462733,0.001703995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5569515,"threshold_uncertainty_score":0.9227124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463684162556818,"score_gpt":0.300572801104083,"score_spread":0.2759359594785148,"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."}}