{"id":"W1563920928","doi":"10.15353/joci.v2i3.2074","title":"Technology Related Dangers: The Issue of Development and Security for Marginalized Groups in South Africa","year":2007,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"ICT Impact and Policies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); ICTS; Context (archaeology); Information and Communications Technology; Political science; Service (business); Information technology; Engineering ethics; Public relations; Sociology; Business; Engineering; Geography; Marketing; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002605795,0.00007361226,0.0001712982,0.0001778941,0.0001159301,0.00001000237,0.000342344,0.00006925532,0.000003166557],"category_scores_gemma":[0.00009666989,0.00004225299,0.00002358555,0.0002045435,0.0001024608,0.0001079246,0.00005918171,0.0005855599,0.000001015838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003467331,"about_ca_system_score_gemma":0.00002236264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005225303,"about_ca_topic_score_gemma":0.00001131877,"domain_scores_codex":[0.9991459,0.00005072123,0.0005594149,0.000001792669,0.00009407711,0.0001481179],"domain_scores_gemma":[0.9990684,0.0004599403,0.0002155243,0.0001662297,0.00006672026,0.00002320321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004337246,0.00001401694,0.0001691202,0.0001115559,0.00005118459,5.655334e-8,0.9964757,0.0004183302,0.00004360906,0.0003063185,0.0004278787,0.001938875],"study_design_scores_gemma":[0.001112937,0.0001736674,0.002028329,0.0001289323,0.00005471068,0.000108011,0.9532519,0.0008381672,0.004945956,0.00366984,0.03356737,0.0001201629],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996251,0.0004347827,0.001490386,0.0002012222,0.00004772438,0.0001059119,0.000002594519,0.00001262434,0.001453695],"genre_scores_gemma":[0.9994138,0.00007528235,0.0004416328,0.00004541259,0.000007691589,5.881416e-7,7.877512e-7,0.000005319776,0.000009484643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04322376,"threshold_uncertainty_score":0.2543999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013525394046451,"score_gpt":0.2531133957812449,"score_spread":0.2329781418407804,"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."}}