{"id":"W7043754252","doi":"","title":"Trusted CI - The NSF Cybersecurity Center of Excellence: Award Year 1, Quarter 1 Report","year":2019,"lang":"en","type":"report","venue":"IUScholarWorks (Indiana University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Center (category theory); Trusted Computing; Direct Anonymous Attestation","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":[0.0127319,0.001087003,0.0009229735,0.003604021,0.005908929,0.01326538,0.002338169,0.006311544,0.1145382],"category_scores_gemma":[0.02087634,0.0008925952,0.0006307492,0.002424504,0.001001534,0.004049631,0.004281929,0.006528648,0.1099193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007866332,"about_ca_system_score_gemma":0.05657875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04697829,"about_ca_topic_score_gemma":0.06794753,"domain_scores_codex":[0.9822022,0.0006468448,0.0003725785,0.000531785,0.01337793,0.002868657],"domain_scores_gemma":[0.9657071,0.001464535,0.0007010684,0.001490558,0.02145832,0.009178316],"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":[0.00002114308,0.00006174169,0.0003341715,0.000016713,0.000002073169,0.00002032465,0.00001499338,0.00005454716,0.00009285415,0.002152676,0.9904364,0.006792377],"study_design_scores_gemma":[0.00002988063,0.00008612079,0.001890248,0.00009442377,0.000009417488,0.00007472264,0.0002661759,0.0006044271,0.001032293,0.001179525,0.9946971,0.00003565387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005442229,0.002007997,0.005735955,0.0489255,0.02259917,0.001844187,0.02408741,0.005249797,0.8841078],"genre_scores_gemma":[0.0202279,0.003002115,0.005052408,0.007116742,0.001435011,0.0008119166,0.02799875,0.001439636,0.9329156],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1145382,"threshold_uncertainty_score":0.3831684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084725886429115,"score_gpt":0.2473114166123086,"score_spread":0.2264641577480175,"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."}}