{"id":"W4411995859","doi":"10.1109/access.2025.3585635","title":"Unpacking Youth Privacy Management in AI Systems: A Privacy Calculus Model Analysis","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Unpacking; Computer science; Information privacy; Computer security; Internet privacy; Privacy software; Calculus (dental)","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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0006726258,0.0002972849,0.0004913483,0.001865949,0.0001413933,0.001150265,0.05242838,0.0001633569,0.000002373974],"category_scores_gemma":[0.001350046,0.0002917979,0.0001351102,0.006486286,0.00006900728,0.002066441,0.08824565,0.000381281,0.00001283805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830437,"about_ca_system_score_gemma":0.00009997998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506251,"about_ca_topic_score_gemma":0.00005080795,"domain_scores_codex":[0.9969935,0.0001133093,0.0006243335,0.001102532,0.0005137896,0.0006525228],"domain_scores_gemma":[0.9881219,0.00008826071,0.0001889729,0.01143556,0.0000994892,0.00006581548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008259775,0.00114181,0.09497745,0.001530507,0.005037993,0.0007437321,0.003395057,0.5459677,0.0002256387,0.1251429,0.1538648,0.06788985],"study_design_scores_gemma":[0.0004045895,0.000006219971,0.001617175,0.0001571306,0.0001608098,8.39982e-7,0.00006990729,0.95021,0.0004922999,0.04638348,0.0002118319,0.0002856763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06554784,0.0002434538,0.924076,0.005726987,0.0005384187,0.0005257079,0.00002058093,0.0008551789,0.002465837],"genre_scores_gemma":[0.9605346,0.00008450793,0.03856497,0.0005003684,0.00001705758,0.0001124647,0.00001226906,0.00001368136,0.0001600863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8949867,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403428783018255,"score_gpt":0.3454385587540594,"score_spread":0.2914042709238768,"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."}}