{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003200551,0.00068806,0.0004908805,0.001336591,0.0007521344,0.003734065,0.001821612,0.001501755,0.002194696],"category_scores_gemma":[0.004237728,0.0005699758,0.001660965,0.0009803585,0.00230047,0.00512439,0.002626941,0.003020515,0.0007920333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648698,"about_ca_system_score_gemma":0.004220251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006308174,"about_ca_topic_score_gemma":0.005202584,"domain_scores_codex":[0.9976398,0.0005674491,0.0003257154,0.0004452545,0.000750591,0.0002712435],"domain_scores_gemma":[0.9972842,0.000743321,0.0002275784,0.001025982,0.0005506131,0.0001684369],"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":[0.0001369797,0.0002556252,0.003059901,0.0005361057,0.00008232349,0.000472408,0.001983379,0.04026957,0.01342465,0.8447942,0.005269163,0.08971579],"study_design_scores_gemma":[0.0001003164,0.000288455,0.001844921,0.0007299119,0.0002773408,0.0009731374,0.000956336,0.2339935,0.02225349,0.3213858,0.4170183,0.0001785104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0159733,0.0004656962,0.9659693,0.0008758508,0.0001180439,0.0003492689,0.0005008752,0.002130073,0.01361756],"genre_scores_gemma":[0.2264597,0.001382541,0.7521732,0.0008237843,0.0001740365,0.0008255429,0.002047072,0.0007905521,0.01532348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006308174,"threshold_uncertainty_score":0.01692629,"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."}}