{"id":"W7132958245","doi":"","title":"The Dynamics of Digital Privacy: Economic Framework, Field Evidence and Experiment","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Framing (construction); Externality; Unintended consequences; Salience (neuroscience); Information privacy; Empirical evidence; Field (mathematics); Empirical research; Digital goods","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":[0.0253465,0.0006716775,0.001200435,0.001178696,0.001702282,0.004130501,0.002190925,0.002972653,0.010961],"category_scores_gemma":[0.05385217,0.0006440792,0.0008261502,0.001775388,0.005804989,0.006326037,0.002724327,0.003455682,0.0008966223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003599231,"about_ca_system_score_gemma":0.002881323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503877,"about_ca_topic_score_gemma":0.002978504,"domain_scores_codex":[0.9857804,0.009343034,0.0005093387,0.001384781,0.002457778,0.0005246017],"domain_scores_gemma":[0.877702,0.1075079,0.00611899,0.005766213,0.002136754,0.0007681058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.004112697,0.009624234,0.04298484,0.002410643,0.000372864,0.0005409194,0.002652648,0.03219075,0.003535419,0.7871916,0.0145987,0.09978472],"study_design_scores_gemma":[0.003244049,0.00886888,0.03792378,0.001411117,0.0006114732,0.0004639117,0.006040989,0.1206175,0.008423101,0.7545864,0.05740654,0.0004021838],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7002592,0.00641485,0.1296161,0.01781814,0.000461408,0.006485015,0.002989124,0.0002444677,0.1357117],"genre_scores_gemma":[0.9444611,0.003514963,0.03781205,0.002454676,0.0002328665,0.004296529,0.0005746675,0.00004013572,0.006613035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0253465,"threshold_uncertainty_score":0.1340467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178875305024138,"score_gpt":0.3799565623318051,"score_spread":0.3481678092815637,"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."}}