{"id":"W2123243101","doi":"10.58729/1941-6687.1185","title":"The Ethics of BI with Private and Public Entities","year":2014,"lang":"en","type":"article","venue":"Communications of the IIMA","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compromise; Information privacy; Business; Internet privacy; Context (archaeology); Legislation; Data Protection Act 1998; Privacy law; Information privacy law; Personally identifiable information; Privacy by Design; Privacy policy; Freedom of information; The Internet; Private information retrieval; Public relations; Law; Political science; Computer security; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001507616,0.00003140741,0.00005462088,0.00002022996,0.00139397,0.00005538726,0.002473385,0.00004070011,0.000002994272],"category_scores_gemma":[0.003448687,0.00001816166,0.00001872354,0.0001723584,0.001821519,0.0001440416,0.001224334,0.0001889804,8.255049e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001118738,"about_ca_system_score_gemma":0.00008025707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800631,"about_ca_topic_score_gemma":0.008843344,"domain_scores_codex":[0.9989783,0.0006286013,0.0001054658,0.00004491166,0.0001665038,0.00007623344],"domain_scores_gemma":[0.996969,0.0007173137,0.0001364875,0.002015337,0.0001429891,0.00001884107],"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":[0.000004508191,0.00003609842,0.005954657,0.00001332725,0.00001423223,2.148981e-9,0.007455527,3.431366e-7,0.0001134858,0.9816999,0.0003247899,0.004383119],"study_design_scores_gemma":[0.0001918349,0.00004464245,0.01624835,0.00006206489,0.00002497808,6.215494e-7,0.00684492,0.0001497663,0.000700867,0.2068174,0.7688327,0.00008175767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4146425,0.005198384,0.002103572,0.5079833,0.0003039069,0.0009459439,0.00004220647,0.00009247542,0.06868774],"genre_scores_gemma":[0.9960658,0.002303681,0.001435271,0.00005405831,0.00001312333,0.00001080951,0.000001815143,0.000002614163,0.0001128378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7748824,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07754027803423724,"score_gpt":0.337280369848728,"score_spread":0.2597400918144908,"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."}}