{"id":"W1979402740","doi":"10.1109/isdpe.2010.25","title":"Verification of Privacy Requirements in Web Services Composition","year":2010,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Computer science; Web service; Composition (language); Privacy policy; Services computing; Interface (matter); Semantics (computer science); Computer security; Information privacy; Privacy software; World Wide Web; Internet privacy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005330563,0.0000397608,0.00006096108,0.00007119334,0.0001156355,0.00002951508,0.0002886843,0.00007278628,0.0001959655],"category_scores_gemma":[0.00005673462,0.00004053588,0.00001511129,0.0002006537,0.00006583408,0.0005188513,0.00006447096,0.0000888892,0.00002816143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708635,"about_ca_system_score_gemma":0.00004758734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005505343,"about_ca_topic_score_gemma":0.01389085,"domain_scores_codex":[0.9993554,0.00006989104,0.0001524201,0.0001175276,0.0001986506,0.000106101],"domain_scores_gemma":[0.9996072,0.00001710512,0.00007584854,0.0002092834,0.00005753403,0.00003302415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005090166,0.0003705591,0.05320279,0.00007557599,0.00000722345,5.836342e-7,0.01457285,8.060644e-7,0.8457811,0.07645971,0.0003534378,0.009124415],"study_design_scores_gemma":[0.003454857,0.000238855,0.5141056,0.000207399,0.00004233396,0.000002186513,0.01320717,0.004153401,0.1978119,0.09689672,0.1689762,0.0009034364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797809,0.00001057098,0.0001305733,0.0009652651,0.0002613736,0.0002198881,0.000005322168,0.00004257091,0.01858354],"genre_scores_gemma":[0.9987205,0.00004492789,0.001025666,0.00005048373,0.00007878963,0.000009775042,0.00002780541,0.000002549142,0.00003951712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6479693,"threshold_uncertainty_score":0.8322468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042419300490627,"score_gpt":0.3272259918683763,"score_spread":0.29680179886347,"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."}}