{"id":"W4362606933","doi":"10.36227/techrxiv.22340764.v1","title":"Generalized Inverse Matrix Construction for Code Based Cryptography","year":2023,"lang":"en","type":"preprint","venue":"","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"McEliece cryptosystem; Gaussian elimination; Inverse; Cryptosystem; Cryptography; Decoding methods; Mathematics; Matrix (chemical analysis); Generalized inverse; Square matrix; Moore–Penrose pseudoinverse; Binary number; Algorithm; S-box; Discrete mathematics; Theoretical computer science; Computer science; Algebra over a field; Arithmetic; Block cipher; Pure mathematics; Symmetric matrix; Gaussian; Eigenvalues and eigenvectors","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":[0.0003950958,0.0004583522,0.0004165028,0.0008696864,0.0005243379,0.000718145,0.0004578162,0.0004985589,0.003571566],"category_scores_gemma":[0.001693773,0.0002431225,0.0004711926,0.0008269685,0.000829396,0.000931691,0.0008565117,0.001043133,0.001667213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840231,"about_ca_system_score_gemma":0.0008309892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004609645,"about_ca_topic_score_gemma":0.0005992168,"domain_scores_codex":[0.9993765,0.0001915868,0.00002203426,0.00006104534,0.0003030039,0.00004593285],"domain_scores_gemma":[0.9993462,0.0002352988,0.00005440417,0.0001870143,0.0001497172,0.00002733957],"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":[0.0001023639,0.00007800189,0.0003739319,0.0002444519,0.00003572971,0.0001864934,0.000204253,0.05948749,0.04073211,0.5684623,0.005748165,0.3243447],"study_design_scores_gemma":[0.00006283706,0.0001849301,0.0003465062,0.0000755261,0.00003005441,0.000876891,0.00006784633,0.4790031,0.06348323,0.4027676,0.05301982,0.00008161952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009617343,0.0003986821,0.9829164,0.0001526426,0.00009272982,0.00005824269,0.00004142138,0.0004576649,0.006264964],"genre_scores_gemma":[0.1623087,0.0006468615,0.8284757,0.0001323659,0.0001088295,0.0001477284,0.0001880171,0.000194714,0.007797068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003571566,"threshold_uncertainty_score":0.01194811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789132392455706,"score_gpt":0.2536716368298101,"score_spread":0.225780312905253,"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."}}