{"id":"W2803046184","doi":"10.31228/osf.io/dwus4","title":"Consumer Privacy in a Behavioral World","year":2019,"lang":"en","type":"article","venue":"","topic":"Legal and Constitutional Studies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Internet privacy; Consumer privacy; Privacy policy; Information privacy; Consumer protection; The Internet; Information overload; Business; Private information retrieval; Consumer law; Advertising; Computer security; Computer science; Law and economics; Political science; Economics; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006812414,0.00005352802,0.0001468298,0.000109549,0.00002067196,0.00001773186,0.00007324448,0.00001769907,0.002667331],"category_scores_gemma":[0.000005660833,0.0000528435,0.00003624369,0.0001520905,0.00003147694,0.0001103536,0.00004816948,0.00006019849,0.006075097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004046019,"about_ca_system_score_gemma":0.000008511007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279745,"about_ca_topic_score_gemma":0.000424775,"domain_scores_codex":[0.9995141,0.000001681801,0.0001946675,0.0001543841,0.00001290246,0.0001222758],"domain_scores_gemma":[0.9998342,0.00001059792,0.00003597623,0.00009382716,0.000006476085,0.00001893968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002029069,0.00003102284,0.5540096,0.000001467876,0.000003269621,9.225767e-7,0.00003256504,0.000001195369,0.000001756357,0.4453515,0.0004241346,0.0001405701],"study_design_scores_gemma":[0.0005110555,0.00001641138,0.4475087,0.000006018123,9.986547e-7,9.473115e-7,0.00002381826,0.00005176927,0.00001882122,0.01908183,0.5326283,0.0001514047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6155127,0.0007900338,0.00002287765,0.0004946148,0.0001836586,0.0000823775,0.00001070258,0.00001363296,0.3828894],"genre_scores_gemma":[0.9751767,0.00002270022,0.0001649854,0.000269946,0.00001393233,0.00001082243,0.000001930568,0.000002915005,0.02433606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5322042,"threshold_uncertainty_score":0.9982443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729736856716322,"score_gpt":0.2392773765646045,"score_spread":0.1919800079974413,"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."}}