{"id":"W4200435041","doi":"10.1109/pst52912.2021.9647740","title":"Updatable Linear Map Commitments and Their Applications in Elementary Databases","year":2021,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Commit; Computer science; Feature (linguistics); Database; Property (philosophy); The Internet; Theoretical computer science; Computer security; 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":[0.0001023686,0.00007004057,0.00007795775,0.00004854519,0.00007949487,0.00005664663,0.0002836485,0.00001152795,0.00008036528],"category_scores_gemma":[0.000003342551,0.00005796261,0.00001583119,0.000323235,0.00002314612,0.0005409518,0.0006003791,0.00006317282,0.00001133529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005962907,"about_ca_system_score_gemma":0.0000238377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107126,"about_ca_topic_score_gemma":0.0007885258,"domain_scores_codex":[0.9993845,0.00002928014,0.0001148137,0.0002753275,0.00006366173,0.0001324835],"domain_scores_gemma":[0.9992402,0.00006271923,0.00001738875,0.0006108132,0.00001835816,0.00005058218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002466255,0.0005215818,0.05658327,0.00003549636,0.00002473758,0.00001213864,0.0002930673,0.000001971632,0.0005255315,0.9175874,0.0116751,0.01273724],"study_design_scores_gemma":[0.0007180246,0.00002446856,0.01082662,0.00002248169,0.000005864692,0.00001224089,0.001095415,0.006569027,0.01533566,0.02430748,0.9407742,0.000308505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01277978,0.0009733915,0.983525,0.0008484233,0.00005512461,0.0001840639,0.0004107418,0.00007222198,0.001151302],"genre_scores_gemma":[0.2575115,0.0005756662,0.7344092,0.003283779,0.00007584845,0.0001201997,0.003936216,0.00001046505,0.00007711451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9290991,"threshold_uncertainty_score":0.2363647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319334736756062,"score_gpt":0.2708682106523099,"score_spread":0.2476748632847492,"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."}}