{"id":"W4232910642","doi":"10.1007/978-0-387-39940-9_2795","title":"Identity-based Access Control","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Access Control and Trust","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identity (music); Control (management); Computer science; Art; Aesthetics; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001286981,0.0004527918,0.001037062,0.0003506417,0.0003565059,0.0002761867,0.001606488,0.0004723417,0.0009271769],"category_scores_gemma":[0.0002717832,0.0004411713,0.0003082283,0.0001215049,0.00036006,0.001446345,0.0001108408,0.0004526292,0.0002720893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139013,"about_ca_system_score_gemma":0.0009179535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005936776,"about_ca_topic_score_gemma":0.002979306,"domain_scores_codex":[0.9962536,0.0002048436,0.0009370396,0.0005995498,0.001503738,0.0005012353],"domain_scores_gemma":[0.9969921,0.0004090771,0.001038405,0.0008654442,0.0003879861,0.0003070547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000854781,0.00009160898,0.0007185661,0.0004536001,0.0002173927,0.0001519386,0.0002530572,0.00006873882,0.000004459007,0.9644361,0.02530557,0.008213524],"study_design_scores_gemma":[0.001008309,0.00004109086,0.00009380447,0.0006228242,0.0002620873,0.000001052718,0.00006540238,0.00005547212,0.000001031577,0.002526589,0.9948195,0.0005028843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001691429,0.003865146,0.003647587,0.0003160099,0.002290472,0.001343232,0.002188919,0.00014927,0.9861825],"genre_scores_gemma":[0.1016552,0.005879867,0.000229346,0.0006350065,0.007866461,0.0001449043,0.00141959,0.0001836817,0.8819859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9695139,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725173693212814,"score_gpt":0.3139135794352645,"score_spread":0.2866618425031364,"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."}}