{"id":"W2107211241","doi":"10.1201/1078/43202.19.4.20020901/38836.8","title":"Dealing with Data Privacy Protection: An Issue for the 21st Century","year":2002,"lang":"en","type":"article","venue":"Information Systems Management","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shared Services Canada","funders":"","keywords":"Internet privacy; Business; Government (linguistics); Identification (biology); Agency (philosophy); Biometrics; Tracking (education); Personally identifiable information; European union; Information privacy; Computer security; 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":[0.001369521,0.00009888697,0.00008971067,0.00009636284,0.00124693,0.0006837905,0.0009565949,0.0000503654,0.00005916388],"category_scores_gemma":[0.00008756894,0.00007131008,0.00001805057,0.0002377288,0.00005449055,0.00399431,0.0002529804,0.00007983237,0.0001586369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009478479,"about_ca_system_score_gemma":0.00001220926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990563,"about_ca_topic_score_gemma":0.0001479173,"domain_scores_codex":[0.9987457,0.00008214112,0.000309573,0.0001588005,0.0004822812,0.0002214946],"domain_scores_gemma":[0.9986302,0.00003014808,0.0002371453,0.0009168079,0.0001231553,0.00006256111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008917022,0.0001088625,0.00006289841,0.0008871384,0.0002147504,0.000001308292,0.03987188,0.001108384,0.000001517029,0.3405056,0.02673765,0.5904108],"study_design_scores_gemma":[0.0003156451,0.00004379369,0.00005638615,0.00003959637,0.00002574244,0.000002008009,0.03334761,0.01607404,0.000001797278,0.00007052144,0.9499148,0.0001080527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009916255,0.00156907,0.6522422,0.01768214,0.005451408,0.02547122,0.0003501081,0.001205795,0.2950364],"genre_scores_gemma":[0.9930913,0.001435465,0.001658607,0.0004160438,0.001193012,0.001136773,0.0002622893,0.00001545193,0.0007910295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920997,"threshold_uncertainty_score":0.9590506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07491258844311638,"score_gpt":0.3010026901041041,"score_spread":0.2260901016609877,"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."}}