{"id":"W4387477964","doi":"10.1007/978-3-031-45513-1_6","title":"Linicrypt in the Ideal Cipher Model","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Hash function; Computer science; Block cipher; Ideal (ethics); Cipher; Theoretical computer science; Cryptographic hash function; Cryptography; Algorithm; Programming language; Encryption; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001893651,0.0003683733,0.000344752,0.0009133855,0.0002630106,0.0006007832,0.004216412,0.0002088472,0.00001346519],"category_scores_gemma":[0.00005765172,0.0002791894,0.0001461913,0.001423573,0.0004394631,0.000403171,0.001074323,0.0009165235,0.0000421538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057886,"about_ca_system_score_gemma":0.0004532229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008561446,"about_ca_topic_score_gemma":0.001174999,"domain_scores_codex":[0.9965379,0.0000506635,0.0005722434,0.001129994,0.001067586,0.0006416579],"domain_scores_gemma":[0.9975876,0.000662722,0.0001753152,0.001375001,0.0001189083,0.00008043592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003802791,0.00004975396,0.0001362918,0.00002575438,0.000009656787,0.0001335218,0.007752822,0.08746074,0.00001498051,0.5225427,0.0002703545,0.3815997],"study_design_scores_gemma":[0.0001484115,0.00004356292,0.0002108217,0.0000607806,0.000002514367,0.00001290674,8.298816e-7,0.5656756,0.000009101908,0.4330685,0.0005211664,0.0002457426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001838243,0.0001213106,0.9934824,0.002257037,0.0008873776,0.0004061899,0.000007916077,0.0001164481,0.002537505],"genre_scores_gemma":[0.4692349,0.0002478789,0.5194498,0.009764691,0.0006854307,0.00007839674,0.00002199119,0.00007823266,0.0004386219],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4782149,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341923448835318,"score_gpt":0.302954283408371,"score_spread":0.2595350489200178,"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."}}