{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006184177,0.0003082643,0.0003826593,0.00008881019,0.00095245,0.000655512,0.001156981,0.0005638585,0.0001519354],"category_scores_gemma":[0.003822352,0.0002782347,0.0001419494,0.0002086917,0.0002976801,0.0005984241,0.0005621556,0.0005671221,0.00001844499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469925,"about_ca_system_score_gemma":0.0006819182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003534753,"about_ca_topic_score_gemma":0.009060306,"domain_scores_codex":[0.998032,0.0001646224,0.0005044907,0.0005650112,0.0003526352,0.0003812646],"domain_scores_gemma":[0.9963326,0.002087545,0.0005480518,0.0008007847,0.0001124654,0.0001185814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001512704,0.000377094,0.005566022,0.001421769,0.0005317008,0.000005314263,0.386523,0.00001853142,0.0001396905,0.3919087,0.006149033,0.2058464],"study_design_scores_gemma":[0.0009275684,0.001617468,0.002938915,0.007342748,0.0005694904,0.000004398642,0.6341674,0.01158902,0.00897058,0.2598525,0.06958518,0.002434725],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775026,0.03017411,0.01050554,0.03726338,0.00950028,0.003704335,0.0001851416,0.0001373796,0.03102721],"genre_scores_gemma":[0.970698,0.01980191,0.0002331264,0.00004393686,0.0002568736,0.00007684417,0.00008930563,0.00001624213,0.008783781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2476443,"threshold_uncertainty_score":0.999967,"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."}}