{"id":"W2759594068","doi":"10.1287/isre.2018.0818","title":"Relative Privacy Valuations Under Varying Disclosure Characteristics","year":2019,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; University of Arizona","keywords":"Generalizability theory; Private information retrieval; Context (archaeology); Internet privacy; Personally identifiable information; Information privacy; Perspective (graphical); Business; Computer science; Psychology; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005853896,0.00008733947,0.000148255,0.0003830685,0.001134173,0.0007259629,0.0005274576,0.0001724216,0.0002074534],"category_scores_gemma":[0.002353742,0.00008268558,0.0000416307,0.0008215105,0.0001388212,0.005011752,0.000268795,0.0004802363,0.004058027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404358,"about_ca_system_score_gemma":0.0005017428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620279,"about_ca_topic_score_gemma":0.00003728908,"domain_scores_codex":[0.9964257,0.000932635,0.0004663586,0.0001421397,0.001616332,0.0004168149],"domain_scores_gemma":[0.9977837,0.0004229492,0.0001873779,0.0004547118,0.001019045,0.0001322838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007717739,0.00009832122,0.01527911,0.0004143344,0.00009110357,0.000001227207,0.1518406,0.0002347549,0.0002410719,0.8112135,0.01067527,0.009833531],"study_design_scores_gemma":[0.0009113211,0.0001335992,0.02793977,0.0002725917,0.00001220643,0.000005074057,0.04218161,0.0077395,0.00005130528,0.01331861,0.9070346,0.000399778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4125177,0.0002458604,0.04055587,0.007955153,0.004068234,0.007476818,0.0002925073,0.0005082626,0.5263796],"genre_scores_gemma":[0.9973451,0.00007429189,0.00008085301,0.00003960943,0.0002867849,0.0001170347,0.0001557586,0.000007067573,0.001893482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8963594,"threshold_uncertainty_score":0.9967175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13102698170487,"score_gpt":0.4144843012434589,"score_spread":0.2834573195385889,"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."}}