{"id":"W3126007474","doi":"10.1257/aer.102.3.349","title":"Shifts in Privacy Concerns","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Digitization; Information privacy; Perception; Internet privacy; Privacy policy; Marketing; Personally identifiable information; Business; Survey data collection; Measure (data warehouse); Economics; Advertising; Psychology; Political science; Computer science; Law; Telecommunications; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01034148,0.0001932828,0.000293786,0.002281676,0.003171419,0.004938796,0.0007190508,0.002346548,0.004486932],"category_scores_gemma":[0.03339863,0.0003857673,0.0005600797,0.00220576,0.005911674,0.006745514,0.004370226,0.004048449,0.0004009941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958208,"about_ca_system_score_gemma":0.001831209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004924092,"about_ca_topic_score_gemma":0.002885627,"domain_scores_codex":[0.9913301,0.003570344,0.0005140635,0.001363338,0.002419012,0.0008030144],"domain_scores_gemma":[0.9697998,0.01530017,0.006348436,0.003129099,0.004128229,0.001294231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004130756,0.0002704867,0.202537,0.0003785032,0.0001718841,0.001960145,0.2758344,0.0008090329,0.006307871,0.2306475,0.009296676,0.2713734],"study_design_scores_gemma":[0.00004403444,0.0003869615,0.3843215,0.000437646,0.00008078292,0.005174702,0.1665482,0.001325912,0.00420814,0.07994176,0.3573397,0.0001905915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959844,0.003810039,0.008758129,0.02793124,0.0002087352,0.00005068223,0.0001855154,0.00005696281,0.0630144],"genre_scores_gemma":[0.9937722,0.0009264949,0.0008953233,0.002256704,0.00009021944,0.00001283774,0.00004589967,0.00001597789,0.001984279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034148,"threshold_uncertainty_score":0.05469161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354732880267764,"score_gpt":0.3609880748091749,"score_spread":0.3074407460064973,"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."}}