{"id":"W4300889023","doi":"10.1145/3133956","title":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Computer science; Government (linguistics); Inclusion (mineral); Library science; Process (computing); Operations research; Sociology; Engineering; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007518714,0.001443702,0.001648843,0.002956459,0.002781195,0.009344839,0.001897474,0.001986822,0.1901169],"category_scores_gemma":[0.01771755,0.0005327528,0.001218597,0.001511601,0.001756971,0.008005917,0.003791682,0.005030917,0.1555819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002721759,"about_ca_system_score_gemma":0.006849497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132601,"about_ca_topic_score_gemma":0.004510752,"domain_scores_codex":[0.9940506,0.001435458,0.0003578148,0.0007034874,0.003058532,0.0003940791],"domain_scores_gemma":[0.9795436,0.003620452,0.0006040219,0.00190341,0.01017678,0.004151681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007219899,0.00004889609,0.0003504201,0.0001689866,0.00001921177,0.00008880431,0.0001097624,0.0001110844,0.0004534874,0.002987381,0.9396439,0.05594585],"study_design_scores_gemma":[0.00001063609,0.00002914482,0.0004162096,0.0002215417,0.000009760467,0.000104563,0.0001950363,0.0004033539,0.0002697882,0.002647244,0.9956761,0.00001662048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01045413,0.06336578,0.0406054,0.09526891,0.3636047,0.002122835,0.008431509,0.005981096,0.4101657],"genre_scores_gemma":[0.03333468,0.0473863,0.01799595,0.01371572,0.05034988,0.001197614,0.02097553,0.002772775,0.8122715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1901169,"threshold_uncertainty_score":0.6360043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07594937142261006,"score_gpt":0.3353062954452068,"score_spread":0.2593569240225967,"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."}}