{"id":"W4407031368","doi":"10.1287/mnsc.2022.03423","title":"Secondary Market Monetization and Willingness to Share Personal Data","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monetization; Willingness to pay; Personally identifiable information; Salient; Internet privacy; Economics; Data sharing; Business; Information privacy; Marketing; Actuarial science; Microeconomics; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003571856,0.0002109267,0.0003018944,0.0004348261,0.0005181118,0.002056042,0.0003342923,0.001051961,0.02538519],"category_scores_gemma":[0.03296314,0.0002256708,0.0004209055,0.0003803799,0.0009505941,0.001525499,0.00107417,0.001725118,0.001154925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005522131,"about_ca_system_score_gemma":0.0002953995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006717677,"about_ca_topic_score_gemma":0.0009664927,"domain_scores_codex":[0.9980877,0.001026575,0.0001423567,0.000270472,0.0003027431,0.0001702764],"domain_scores_gemma":[0.9428004,0.03561806,0.01364899,0.004005163,0.001152249,0.002775226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002293942,0.00502222,0.893975,0.0003424163,0.0003978201,0.0003805773,0.004693857,0.002241862,0.01049079,0.02099876,0.003698296,0.05546453],"study_design_scores_gemma":[0.0001093344,0.001205903,0.9636643,0.00008091311,0.0001445561,0.0004072797,0.003293959,0.006374992,0.002416722,0.01844881,0.003785804,0.0000674031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873497,0.00009134861,0.001519035,0.0004829019,0.00001055129,0.00003907157,0.0001911191,0.00001293042,0.01030322],"genre_scores_gemma":[0.9976432,0.00003370867,0.0005230182,0.00009417062,0.000005940572,0.0000314491,0.0001067243,0.000004906914,0.001556858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02538519,"threshold_uncertainty_score":0.08492196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955621204586211,"score_gpt":0.3164414158566722,"score_spread":0.2868852038108101,"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."}}