{"id":"W2964299618","doi":"10.1145/3205977.3205978","title":"HCAP","year":2018,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Permission; Computer science; Computer security; Internet of Things; Privilege (computing); Fence (mathematics); Authorization; Access control; Computer network; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003561272,0.0006083003,0.0005532159,0.001163867,0.001720559,0.003028192,0.002353349,0.001215696,0.01262537],"category_scores_gemma":[0.01529461,0.0003383416,0.0005924575,0.00114132,0.00142822,0.006343549,0.00381261,0.001517217,0.003426452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188728,"about_ca_system_score_gemma":0.003931107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006652245,"about_ca_topic_score_gemma":0.003983015,"domain_scores_codex":[0.9964321,0.0008585983,0.0003678047,0.000780663,0.00124384,0.0003170812],"domain_scores_gemma":[0.9834515,0.004143662,0.0009512018,0.007331748,0.003391074,0.0007307446],"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":[0.0006870823,0.0002968842,0.008989083,0.000758562,0.0001557653,0.0007463673,0.001682622,0.04623113,0.01219605,0.4345089,0.03987997,0.4538677],"study_design_scores_gemma":[0.0001183518,0.0003867062,0.003092831,0.0002220696,0.0001013248,0.001442745,0.0007981855,0.4481707,0.02301073,0.3141623,0.208298,0.0001960266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04458055,0.0007558756,0.8804146,0.001439809,0.0003970491,0.001136475,0.002255824,0.01142319,0.05759655],"genre_scores_gemma":[0.7519172,0.0005050321,0.2212713,0.0005726198,0.0002721364,0.0006501113,0.00260498,0.0005946821,0.0216119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9873747,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210970813486442,"score_gpt":0.3614990483560225,"score_spread":0.3393893402211581,"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."}}