{"id":"W3022633280","doi":"10.1093/idpl/ipaa004","title":"To track or not to track? Employees’ data privacy in the age of corporate wellness, mobile health, and GDPR†","year":2020,"lang":"en","type":"article","venue":"International Data Privacy Law","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Track (disk drive); Information privacy; Library science; Political science; Law; Engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008544825,0.0001155932,0.0001877769,0.00006202109,0.0001670896,0.0002988947,0.003163512,0.00004899107,0.00009372003],"category_scores_gemma":[0.000869624,0.00008905133,0.00001688922,0.0004493269,0.0002020029,0.001468303,0.0009359077,0.00003814928,0.00001038352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350476,"about_ca_system_score_gemma":0.0002446919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217422,"about_ca_topic_score_gemma":0.01339165,"domain_scores_codex":[0.99803,0.000172537,0.0004496673,0.0004895641,0.0006639153,0.000194309],"domain_scores_gemma":[0.9985127,0.0001844976,0.000197158,0.0008387424,0.00009612252,0.0001708086],"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":[0.0008225826,0.0009021171,0.01436442,0.0001674031,0.0001207363,0.00005747026,0.1183156,0.0005074474,0.0002970394,0.4869497,0.3279559,0.04953951],"study_design_scores_gemma":[0.0002944947,0.0001143525,0.002751901,0.00005310079,0.000006113641,0.000001594173,0.001300054,0.0003934276,0.0000479523,0.001630661,0.9932737,0.0001326528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423223,0.0001317697,0.007654928,0.1221066,0.00118735,0.004077042,0.008410661,0.0001797211,0.01392958],"genre_scores_gemma":[0.9869303,0.0001154058,0.001242929,0.006164881,0.0003196663,0.00002312304,0.00479345,0.00001572812,0.0003945736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6653178,"threshold_uncertainty_score":0.7472852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941595571140778,"score_gpt":0.3990005200652797,"score_spread":0.2048409629512019,"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."}}