{"id":"W2129533806","doi":"10.1002/cpe.3167","title":"Fine‐grained filtering to provide access control for data providing services within collaborative environments","year":2013,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Access Control and Trust","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Access control; Markup language; World Wide Web; Data access; Service (business); Domain (mathematical analysis); Database; XML; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01831214,0.0005347836,0.0007608859,0.002375937,0.002437508,0.006175708,0.001938577,0.001699978,0.002218055],"category_scores_gemma":[0.01661064,0.0005900802,0.001555051,0.001497608,0.003885416,0.008720292,0.005320029,0.002360817,0.000710862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002957526,"about_ca_system_score_gemma":0.004210185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414371,"about_ca_topic_score_gemma":0.008866694,"domain_scores_codex":[0.9885428,0.00374076,0.001911879,0.001464413,0.003149743,0.001190421],"domain_scores_gemma":[0.9800961,0.006166359,0.001443035,0.008741099,0.002743095,0.0008103586],"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":[0.0003122056,0.0004548841,0.009442167,0.0003973974,0.0001690799,0.0007900223,0.01063588,0.02722694,0.04067414,0.7034312,0.005766204,0.2006999],"study_design_scores_gemma":[0.0001184957,0.0002474714,0.004363965,0.0003742402,0.0002089075,0.001030196,0.002716862,0.3260059,0.06572617,0.4209147,0.1779896,0.0003036206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02909443,0.0001215105,0.9628499,0.0008623454,0.00004443381,0.000295197,0.00006632637,0.001945049,0.004720858],"genre_scores_gemma":[0.5107867,0.000186546,0.4829588,0.0003893046,0.00005310732,0.0002541226,0.0002602862,0.0002524971,0.004858661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01831214,"threshold_uncertainty_score":0.09684503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904822203669841,"score_gpt":0.3922229103901211,"score_spread":0.3431746883534227,"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."}}