{"id":"W1925198521","doi":"10.1007/978-3-642-13335-0_25","title":"The Instance-Based Multilevel Security Model","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Access control; Computer security model; Data security; Database security; Relation (database); Computer security; Data integrity; Database; Key (lock); Data access; Field (mathematics); Encryption","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001437123,0.0003126485,0.0003026269,0.0001836904,0.001941913,0.0006017386,0.00233739,0.0004596345,0.00003651798],"category_scores_gemma":[0.0003197074,0.0002222792,0.0001242305,0.000218484,0.003469192,0.0002877965,0.0002718754,0.001271088,0.00002305645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148221,"about_ca_system_score_gemma":0.001741156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977475,"about_ca_topic_score_gemma":0.01376079,"domain_scores_codex":[0.9971069,0.0000420927,0.0003121968,0.0007354551,0.001134556,0.0006688719],"domain_scores_gemma":[0.9977611,0.00087139,0.0002235866,0.0006637237,0.0003073587,0.0001728174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002228838,0.00002738134,0.00009282634,0.00001191517,0.000007955605,0.00001745965,0.003680304,0.0202244,0.00003273198,0.1277152,0.0000195122,0.848148],"study_design_scores_gemma":[0.0002481035,0.00001789311,0.0000457578,0.00007481167,0.000007314516,6.770405e-7,8.31727e-7,0.5247791,0.0001084164,0.4564277,0.01793247,0.0003570045],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001878714,0.0003385398,0.9586626,0.002932422,0.001806529,0.0004527622,0.00001453403,0.00009736762,0.03550737],"genre_scores_gemma":[0.968748,0.00007798908,0.02754483,0.001739541,0.0009356511,0.00001580607,0.000002321855,0.00002626565,0.0009095433],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9685602,"threshold_uncertainty_score":0.9993574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069132731947026,"score_gpt":0.2791206697579599,"score_spread":0.2584293424384896,"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."}}