{"id":"W4311166090","doi":"10.1145/3564625.3564635","title":"ArchiveSafe LT: Secure Long-term Archiving System","year":2022,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Vector Institute; McMaster University","funders":"","keywords":"Computer science; Confidentiality; Cryptography; Computer security; Adversarial system; Cryptographic primitive; Secret sharing; Private information retrieval; Term (time); Information sharing; Key (lock); Cryptographic protocol; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002783113,0.0001229558,0.0001333325,0.0001731838,0.0006506586,0.0002194898,0.001533686,0.00001297045,0.00009538382],"category_scores_gemma":[0.000005448999,0.0001172461,0.0001153057,0.0004503486,0.00004597045,0.0003016912,0.001730327,0.0002626173,0.00002811166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916437,"about_ca_system_score_gemma":0.00005629775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002457788,"about_ca_topic_score_gemma":0.00002934079,"domain_scores_codex":[0.9985415,0.0001599276,0.0001857779,0.000436512,0.0003657698,0.0003105267],"domain_scores_gemma":[0.9989054,0.0001062044,0.00006043921,0.000799694,0.00001017227,0.0001181224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005693983,0.00006664046,0.0047721,0.00005038719,0.00001544104,0.00008843985,0.001551477,0.000037629,0.0001962528,0.9840668,0.0008568082,0.008292315],"study_design_scores_gemma":[0.004172846,0.001517489,0.5332249,0.0003393026,0.00009198686,0.003746628,0.002775623,0.2552129,0.002027508,0.1083879,0.08409604,0.004406816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0658967,0.0001278817,0.9156703,0.0003696023,0.0005510451,0.0001845638,0.00005298252,0.0005702449,0.01657669],"genre_scores_gemma":[0.9819567,0.000003084586,0.01765595,0.0002100017,0.00006034246,0.00003556543,0.00002688133,0.000006812701,0.00004472523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9160599,"threshold_uncertainty_score":0.5004405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008910140707389097,"score_gpt":0.213310026558738,"score_spread":0.2043998858513489,"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."}}