{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863025,0.0001235986,0.0001559279,0.00004144762,0.0007567896,0.0008506863,0.0003487534,0.00004577239,0.00001998562],"category_scores_gemma":[0.0007240409,0.0001135251,0.000009903996,0.0001727733,0.0001395354,0.005377182,0.0001731812,0.00006758214,0.000006444207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669382,"about_ca_system_score_gemma":0.00009151691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135503,"about_ca_topic_score_gemma":0.0002083171,"domain_scores_codex":[0.9987875,0.0001377336,0.000240134,0.0004163594,0.0001958527,0.000222462],"domain_scores_gemma":[0.9986509,0.0006872852,0.0002287299,0.0001307107,0.0001450041,0.000157362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00051255,0.0002513009,0.01219864,0.0002592682,0.0001437619,0.000007601295,0.3876016,0.000553445,0.002628457,0.02038684,0.0010791,0.5743774],"study_design_scores_gemma":[0.007147351,0.0008825544,0.009601381,0.0003795189,0.0002726402,0.0000127709,0.2864609,0.2934801,0.0008461097,0.007302707,0.391891,0.001722926],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6516877,0.001574091,0.3218816,0.01611167,0.0008128518,0.005319992,0.0001148954,0.0001241839,0.002372983],"genre_scores_gemma":[0.9956231,0.00006245136,0.002585839,0.00106611,0.0001014053,0.0004623735,0.00002439357,0.000006372481,0.00006795405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5726545,"threshold_uncertainty_score":0.8203188,"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."}}