{"id":"W590646590","doi":"","title":"Did My Boss Just Read That? Applying a Coding vs. Content Distinction in Determining Government Employees’ Reasonable Expectation of Privacy in Employer- Provided Electronic Communication Devices After City of Ontario v. Quon, 130 S. Ct. 2619 (2010)","year":2011,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boss; Coding (social sciences); Government (linguistics); Internet privacy; Content (measure theory); Business; Psychology; Computer science; Mathematics; Statistics; Linguistics; Engineering","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":[0.0006261673,0.0001862097,0.0004181208,0.0002403133,0.0001415352,0.00002943793,0.0004070084,0.000112143,0.0001161604],"category_scores_gemma":[0.00009180512,0.0002269461,0.00008826242,0.0004640204,0.0001228572,0.001594055,0.0003677458,0.0003009181,0.000002766478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851389,"about_ca_system_score_gemma":0.0001906057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1845279,"about_ca_topic_score_gemma":0.4254292,"domain_scores_codex":[0.9985141,0.00004975129,0.0004013943,0.0003088332,0.0004125178,0.0003134115],"domain_scores_gemma":[0.9984347,0.00009204536,0.0008600222,0.0003774494,0.0002173673,0.00001837768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006951787,0.0003567238,0.9879917,0.0004918882,0.00003159527,0.00001224367,0.006379073,0.0000193066,0.0002809062,0.001642121,0.00001436483,0.002084884],"study_design_scores_gemma":[0.001446452,0.00005382506,0.9877487,0.0006906834,0.00008521623,0.000001217223,0.007437629,0.0008065338,0.0002176877,0.0004705996,0.0008159038,0.000225516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996995,0.00005496576,0.0007708812,0.0001667017,0.00007247315,0.0005911936,0.000004072117,0.00003777976,0.001306918],"genre_scores_gemma":[0.9985511,0.0000308456,0.001076323,0.00004718171,0.00002093817,0.00001350291,0.00003197027,0.00001736667,0.0002107169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2409014,"threshold_uncertainty_score":0.9254595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07827322519373944,"score_gpt":0.2204551709676986,"score_spread":0.1421819457739591,"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."}}