{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005797179,0.0002572891,0.0002825648,0.001404659,0.001483279,0.003634788,0.0007277272,0.0007025312,0.002177328],"category_scores_gemma":[0.01516603,0.0002402392,0.0007635597,0.001362708,0.002387155,0.004769877,0.002484406,0.001732984,0.0001485348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049268,"about_ca_system_score_gemma":0.004073752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224761,"about_ca_topic_score_gemma":0.006812457,"domain_scores_codex":[0.9968367,0.002073362,0.0001051541,0.0002694232,0.0005061716,0.0002091531],"domain_scores_gemma":[0.9898268,0.007558152,0.0009200608,0.000697268,0.0006979603,0.0002997907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008040437,0.000299284,0.04159014,0.00007472787,0.00004114698,0.0001452329,0.01561107,0.02234119,0.0006405455,0.8832818,0.000747684,0.03514687],"study_design_scores_gemma":[0.00003098395,0.0001401731,0.01178381,0.000101642,0.00006314604,0.0001336624,0.01115417,0.4997999,0.001191858,0.4663193,0.00923174,0.0000497186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5765775,0.000312059,0.3962206,0.003983897,0.0000362118,0.000255811,0.0002581669,0.0001047298,0.02225107],"genre_scores_gemma":[0.965638,0.0001201681,0.03294017,0.00006754534,0.00000878336,0.0001177664,0.00005615245,0.00001004976,0.001041402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224761,"threshold_uncertainty_score":0.03065878,"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."}}