{"id":"W4229050620","doi":"10.3390/jcp2010004","title":"HEAD Access Control Metamodel: Distinct Design, Advanced Features, and New Opportunities","year":2022,"lang":"en","type":"article","venue":"Journal of Cybersecurity and Privacy","topic":"Access Control and Trust","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Access control; Cloud computing; Metamodeling; Computer security; Context (archaeology); Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001326928,0.0001259848,0.0003533105,0.0001085206,0.0009815017,0.0002825661,0.0004542088,0.00005024683,0.0002579737],"category_scores_gemma":[0.0003038594,0.0001082877,0.00008946075,0.0001249301,0.0001833937,0.001144536,0.0001759285,0.0004320559,2.552714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037595,"about_ca_system_score_gemma":0.0004542445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085475,"about_ca_topic_score_gemma":0.0003432289,"domain_scores_codex":[0.9983022,0.0005085881,0.0003138331,0.0001355059,0.0004959868,0.0002439017],"domain_scores_gemma":[0.9986626,0.0004051494,0.0003883232,0.0000971731,0.0001113795,0.0003353666],"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":[0.005966374,0.0006301159,0.0213019,0.0001097804,0.00106999,0.0009988414,0.09673287,0.0008893767,0.0001495482,0.1936055,0.04422651,0.6343192],"study_design_scores_gemma":[0.007971587,0.0006893678,0.02828947,0.00005726025,0.0004209804,0.0003216731,0.01138707,0.0002541835,0.00002516669,0.1320234,0.8180113,0.0005485954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8061398,0.05776136,0.02489471,0.09103219,0.002030089,0.001310473,0.0001132419,0.0001104418,0.01660764],"genre_scores_gemma":[0.9964616,0.001488473,0.0004717743,0.0007441462,0.0003010063,0.00000522552,0.000001195437,0.000008637008,0.0005178882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7737848,"threshold_uncertainty_score":0.7549017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070676468069729,"score_gpt":0.3552987974892902,"score_spread":0.2482311506823172,"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."}}