{"id":"W2291652304","doi":"10.1109/repa.2015.7407733","title":"Reusing knowledge on delivering privacy and transparency together","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Transparency (behavior); Computer science; Personally identifiable information; Interdependence; Internet privacy; Computer security; Password; Information privacy; Software; Privacy software; Privacy by Design; Reuse; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01503859,0.002011086,0.0009781739,0.004793236,0.002690066,0.007238707,0.00294696,0.002616514,0.003960451],"category_scores_gemma":[0.04326928,0.001786707,0.002803083,0.002993876,0.0117013,0.02352095,0.01336067,0.004735331,0.000875889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003391533,"about_ca_system_score_gemma":0.006463269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009920266,"about_ca_topic_score_gemma":0.006998243,"domain_scores_codex":[0.9839318,0.007221309,0.00146246,0.002060999,0.004099119,0.001224437],"domain_scores_gemma":[0.945186,0.02887888,0.002982757,0.01782108,0.00387625,0.001255045],"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":[0.00009055571,0.0001754837,0.002646268,0.0006151003,0.0001982978,0.0009904902,0.009525456,0.04251213,0.003265159,0.8023382,0.002154264,0.1354886],"study_design_scores_gemma":[0.0000259096,0.00006189658,0.0003912216,0.0002531769,0.0001164651,0.000284702,0.001076651,0.03312228,0.003579173,0.9402061,0.02082095,0.00006151208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02144444,0.0003524931,0.9584825,0.003331792,0.00005764399,0.0001694374,0.00009155527,0.0007475044,0.01532263],"genre_scores_gemma":[0.4126884,0.001113461,0.5778027,0.0008747065,0.00008812991,0.0003805815,0.0005275641,0.000545233,0.005979142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01503859,"threshold_uncertainty_score":0.07953262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352940228973771,"score_gpt":0.3311304115612554,"score_spread":0.1958363886638783,"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."}}