{"id":"W3046135651","doi":"10.3386/w22203","title":"Image Versus Information: Changing Societal Norms and Optimal Privacy","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Internet privacy; Computer science; Image (mathematics); Computer security; Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845322,0.0003429472,0.0004299245,0.000484829,0.0006908384,0.002878509,0.0006889849,0.001474856,0.002752614],"category_scores_gemma":[0.020383,0.0002683226,0.0003978289,0.0004469657,0.00285448,0.004027337,0.001517108,0.001297289,0.0001854787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173941,"about_ca_system_score_gemma":0.0009527485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223462,"about_ca_topic_score_gemma":0.0009710552,"domain_scores_codex":[0.9979751,0.001128483,0.00006320048,0.0002944149,0.0002856696,0.0002532433],"domain_scores_gemma":[0.9879171,0.007250621,0.002657955,0.001243685,0.0005161024,0.0004145157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003811652,0.0003562238,0.01113205,0.0001396645,0.00008889159,0.000192328,0.0009364799,0.06047901,0.005546357,0.8845922,0.0008676641,0.03528797],"study_design_scores_gemma":[0.0001181996,0.0002374015,0.007316078,0.00004260379,0.00005811713,0.0001126947,0.0008263731,0.1388822,0.003779878,0.846244,0.002339541,0.00004299268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374689,0.0003472874,0.1171283,0.005553276,0.00005199188,0.00008693858,0.0001609753,0.0000543039,0.03914799],"genre_scores_gemma":[0.9928755,0.0001129338,0.00607875,0.000112604,0.00001661819,0.00002420675,0.00001269257,0.000007346261,0.0007595575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002878509,"threshold_uncertainty_score":0.01577318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2895510375317426,"score_gpt":0.5334361439577245,"score_spread":0.2438851064259819,"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."}}