{"id":"W2256907962","doi":"","title":"George Orwell at Work: Technology and Surveillance in Ontario’s Workplaces","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Work (physics); Political science; Engineering; Art history; History; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514171,0.0001989922,0.0001581509,0.0007818241,0.0236026,0.005507662,0.0009016963,0.00240571,0.005880293],"category_scores_gemma":[0.004451058,0.0003116882,0.000200487,0.00149891,0.008953084,0.002176316,0.002378288,0.001998006,0.0004029607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06619626,"about_ca_system_score_gemma":0.09873648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891455,"about_ca_topic_score_gemma":0.9954657,"domain_scores_codex":[0.9969314,0.0004202985,0.00007066645,0.000222758,0.001636855,0.0007178918],"domain_scores_gemma":[0.9958861,0.001362705,0.0004251632,0.0001610512,0.001075504,0.001089502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001943776,0.000151479,0.1474447,0.0003924365,0.00003355031,0.003999947,0.3436275,0.001049945,0.004771546,0.1626924,0.217998,0.1176441],"study_design_scores_gemma":[0.00001817858,0.0000585172,0.1311198,0.000336557,0.00002066993,0.0004076455,0.165646,0.0005014498,0.0008768113,0.006204815,0.6946864,0.0001231323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3949593,0.00731169,0.002517375,0.3062035,0.0006932091,0.0001260485,0.0004934818,0.00008811726,0.2876073],"genre_scores_gemma":[0.8641512,0.0056751,0.001163369,0.01370135,0.0001238525,0.00004264481,0.0001139506,0.00004285285,0.1149857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06619626,"threshold_uncertainty_score":0.4802898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195233344923521,"score_gpt":0.2535920019467079,"score_spread":0.2416396684974727,"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."}}