{"id":"W3133122447","doi":"10.1177/0165551521992756","title":"Delphi study of risk to individuals who disclose personal information online","year":2021,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"City, University of London; Edinburgh Napier University; Royal Academy of Engineering; McMaster University; Israel Cancer Research Fund","keywords":"Delphi method; Delphi; Personally identifiable information; Apathy; Personalization; Internet privacy; Computer science; Psychology; World Wide Web; 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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004550861,0.00007176123,0.0001681098,0.0006280725,0.0006161692,0.000392321,0.0006903751,0.00004401026,0.00005366037],"category_scores_gemma":[0.009753354,0.00006137892,0.00005208173,0.001911747,0.0001756691,0.01689628,0.0002420041,0.0002175636,0.00002228438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535303,"about_ca_system_score_gemma":0.001031408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004740112,"about_ca_topic_score_gemma":0.0004391966,"domain_scores_codex":[0.9968708,0.0001427394,0.000846651,0.00006049722,0.001884921,0.0001944502],"domain_scores_gemma":[0.9964114,0.00009708884,0.001081846,0.0001688905,0.00204073,0.0002000148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007599629,0.0004493798,0.03133384,0.00002786268,0.00002749461,0.000001742952,0.8639008,0.0005085301,0.0001377691,0.002426352,0.002057174,0.09905305],"study_design_scores_gemma":[0.001467882,0.0006125605,0.4051329,0.0001055863,0.00004426583,0.00002951684,0.549083,0.0008201892,0.0008635926,0.001478848,0.04012417,0.0002375119],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915875,0.00001526443,0.005565044,0.001000853,0.0004341557,0.0002110061,0.0000815775,0.000009608533,0.00109499],"genre_scores_gemma":[0.99721,0.0001282409,0.002258618,0.0002734809,0.0001137392,0.000001888975,0.00000773097,0.000001204223,0.000005144964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373799,"threshold_uncertainty_score":0.9985879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306010261890052,"score_gpt":0.3442815548574448,"score_spread":0.3136805286684395,"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."}}