{"id":"W3097436113","doi":"10.1109/icnsc48988.2020.9238116","title":"A Prototype of Privacy Identification System for Smart Toy Dialogue Design","year":2020,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Ministry of Science and Technology","keywords":"Computer science; Conversation; Identification (biology); Privacy policy; Computer security; Information privacy; Human–computer interaction; Architecture; Artificial intelligence; Internet privacy; 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":[0.001813299,0.0005588988,0.0006216301,0.0004569368,0.0008038016,0.001544895,0.002086657,0.001485787,0.01461737],"category_scores_gemma":[0.005413012,0.0004794316,0.0005683597,0.0002924195,0.0006589442,0.002403429,0.001666367,0.0009795051,0.004245889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007334677,"about_ca_system_score_gemma":0.001034623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394536,"about_ca_topic_score_gemma":0.0008823743,"domain_scores_codex":[0.9984068,0.0005079518,0.0001590042,0.0003903635,0.0004057086,0.0001301147],"domain_scores_gemma":[0.998282,0.000618693,0.00009348896,0.0003910996,0.0004067541,0.0002080378],"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":[0.002343733,0.001177486,0.007778161,0.001524697,0.0001192201,0.002413337,0.009430524,0.01280836,0.2615709,0.0534504,0.03928554,0.6080977],"study_design_scores_gemma":[0.0006652317,0.001924641,0.004944594,0.0002530788,0.0001931074,0.00399736,0.002299564,0.4032844,0.2122895,0.01945667,0.3504175,0.0002743767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04612921,0.0002006157,0.8911775,0.0004566214,0.0001614232,0.0009994986,0.0003859271,0.04515309,0.01533597],"genre_scores_gemma":[0.313242,0.00009628417,0.6683738,0.0003136037,0.0000286306,0.0006987446,0.0009101886,0.001112923,0.01522383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461737,"threshold_uncertainty_score":0.04890001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08849939640106412,"score_gpt":0.3165309282875566,"score_spread":0.2280315318864925,"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."}}