{"id":"W3147668544","doi":"","title":"Big Data, Information Technology and Information Professionals: Some Considerations for Digital Ethics.","year":2020,"lang":"en","type":"article","venue":"Medical Informatics Europe","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ambiguity; Information ethics; Ethical issues; Engineering ethics; Big data; Information technology; Data science; Computer science; Knowledge management; Management science; Internet privacy; Sociology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03912531,0.001052347,0.001113005,0.003952121,0.01185359,0.02439525,0.002598776,0.02821942,0.003508218],"category_scores_gemma":[0.03734356,0.0007197802,0.0008362493,0.006022335,0.05912205,0.03015776,0.01042371,0.01786998,0.00099376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008649655,"about_ca_system_score_gemma":0.01343799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004851833,"about_ca_topic_score_gemma":0.007312845,"domain_scores_codex":[0.9575121,0.0323921,0.001828724,0.001065089,0.005851825,0.001350114],"domain_scores_gemma":[0.9197933,0.06914687,0.001714478,0.001908074,0.004410712,0.003026578],"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":[0.00001238847,0.00002617021,0.0001805782,0.0002189655,0.000006300732,0.0001734608,0.005605319,0.00006467208,0.00007257506,0.9340319,0.04915227,0.01045538],"study_design_scores_gemma":[0.00002186686,0.00003737002,0.0004814687,0.001472654,0.000007428659,0.0004891774,0.009467541,0.0002644114,0.00008466899,0.7214357,0.2662073,0.00003027818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001131152,0.08474119,0.003567016,0.8772254,0.003476553,0.0000403015,0.00003277998,0.0000146849,0.02977109],"genre_scores_gemma":[0.1895645,0.1491846,0.02089467,0.5813294,0.03490854,0.0008197491,0.0001305425,0.0001401959,0.02302782],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03912531,"threshold_uncertainty_score":0.2069169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1613664367123291,"score_gpt":0.3256388331361766,"score_spread":0.1642723964238475,"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."}}