{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03417273,0.0006333855,0.0007712271,0.001149302,0.01245714,0.02153114,0.001768974,0.01261551,0.002235845],"category_scores_gemma":[0.0276482,0.0007182087,0.0006314818,0.001725272,0.05658193,0.01388697,0.007626794,0.01306428,0.00134836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009306711,"about_ca_system_score_gemma":0.01376119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009342187,"about_ca_topic_score_gemma":0.004500603,"domain_scores_codex":[0.8998647,0.07429086,0.002946781,0.006307508,0.01275744,0.00383267],"domain_scores_gemma":[0.9684387,0.01666555,0.002175892,0.005405868,0.0046099,0.002704103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009306254,0.000011457,0.0002077356,0.00001832513,0.000006000363,0.00006508648,0.0040131,0.0001735716,0.00007460601,0.9877728,0.003738665,0.003909362],"study_design_scores_gemma":[0.0000134993,0.0000237549,0.0003301115,0.0002249529,0.000008854914,0.0001907615,0.003307488,0.001020577,0.0002561591,0.7525846,0.2420043,0.00003480312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02377661,0.00875115,0.1014036,0.3426313,0.001973494,0.0002667374,0.0001122134,0.00009817025,0.5209867],"genre_scores_gemma":[0.8142008,0.005949453,0.03807038,0.06327495,0.002291689,0.000750105,0.000130333,0.0001839732,0.0751483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03417273,"threshold_uncertainty_score":0.1807248,"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."}}