{"id":"W162331591","doi":"10.1007/978-3-642-27739-9_95-2","title":"Schnorr Identification Protocol","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Protocol (science); Identification (biology); Medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000546145,0.0009148102,0.0005122171,0.00129678,0.001707748,0.002085253,0.0009516244,0.00108665,0.03845796],"category_scores_gemma":[0.001253673,0.0004256622,0.0003675309,0.001947669,0.001383247,0.004095282,0.001849976,0.002391208,0.02077792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298501,"about_ca_system_score_gemma":0.001504936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006738308,"about_ca_topic_score_gemma":0.0008577234,"domain_scores_codex":[0.9992905,0.0001284904,0.00002994496,0.00009869345,0.0003595361,0.00009288711],"domain_scores_gemma":[0.9995289,0.00013775,0.00002691301,0.000165762,0.0001144222,0.00002627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006232752,0.00003750407,0.00003670537,0.0001640704,0.000008645256,0.00007632188,0.0001802939,0.001582764,0.003913119,0.8467358,0.04676426,0.1004383],"study_design_scores_gemma":[0.00001931011,0.00005334475,0.0001152294,0.0001046928,0.00002592699,0.0004239608,0.0001095489,0.006561901,0.01418298,0.4959562,0.4823973,0.00004950937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006254176,0.002905372,0.2552414,0.002886683,0.0009288833,0.0003496524,0.0009525399,0.002488726,0.7279926],"genre_scores_gemma":[0.1627468,0.006003384,0.09814403,0.001749086,0.0006076086,0.0005106827,0.001767868,0.0007325836,0.7277379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03845796,"threshold_uncertainty_score":0.1286547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166011130841794,"score_gpt":0.2648809201761888,"score_spread":0.2432208088677709,"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."}}