{"id":"W2925088335","doi":"","title":"Workplace Privacy in the Private Sector: An Examination of Electronic Surveillance Technologies in Canada and the United States","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic surveillance; Private sector; Business; Information privacy; Internet privacy; Computer security; Political science; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002170828,0.0001336645,0.0001960648,0.000337373,0.0001804408,0.0001183611,0.0012622,0.0001108252,0.000004251041],"category_scores_gemma":[0.0002190629,0.0001060089,0.00002074908,0.001277988,0.0002547019,0.001022291,0.0002992213,0.0005354209,0.00000217937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949345,"about_ca_system_score_gemma":0.0003704101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1908612,"about_ca_topic_score_gemma":0.9834278,"domain_scores_codex":[0.9972571,0.001538306,0.0001810844,0.0002857126,0.0003644292,0.0003733749],"domain_scores_gemma":[0.9988349,0.0004093077,0.0001690832,0.0004867213,0.00006677791,0.00003318967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001008608,0.0000257252,0.9923728,0.00002095133,0.000007888367,0.000007414028,0.005573496,0.00003912058,0.00002628919,0.001323319,1.576659e-7,0.0005019643],"study_design_scores_gemma":[0.00104353,0.00005212383,0.9791691,0.00004781383,0.000006799828,0.000001776462,0.01652453,0.000008546283,0.0001131755,0.001395552,0.001496639,0.0001403617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980257,0.0001219267,0.00002847866,0.001013798,0.00006270187,0.0006334513,0.00001179904,0.00004576835,0.0000564225],"genre_scores_gemma":[0.999215,0.0005839257,0.000003645447,0.00007605115,0.00001046386,0.00000251256,0.00002555453,0.000007700423,0.00007514227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7925665,"threshold_uncertainty_score":0.8145269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777283139342508,"score_gpt":0.2796790405819692,"score_spread":0.2419062091885442,"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."}}