{"id":"W4413212050","doi":"10.1109/icjece.2025.3587644","title":"A New Text Compression Algorithm Based on Index Permutation and Suffix Coding","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suffix; Permutation (music); Compression (physics); Combinatorics; Computer science; Index (typography); Algorithm; Coding (social sciences); Mathematics; Physics; Statistics; Philosophy; Linguistics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314486,0.0001206412,0.0001755262,0.0004902938,0.0001115531,0.0002319087,0.000252068,0.00005744725,0.00000268747],"category_scores_gemma":[0.00002795942,0.0001031708,0.00003315107,0.0003599202,0.00001031262,0.0002346194,0.00004132531,0.0002596495,3.798525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006112619,"about_ca_system_score_gemma":0.0003283348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002391791,"about_ca_topic_score_gemma":0.00001681416,"domain_scores_codex":[0.999253,0.00002480867,0.0002061699,0.0001692821,0.0001261171,0.0002205778],"domain_scores_gemma":[0.9991655,0.0001828697,0.00005643097,0.000111456,0.00006061478,0.0004230961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000590083,0.00001075212,0.0006249787,0.00001536567,0.00001600178,0.00008847362,0.00007788755,0.01615404,0.00008351948,0.006197292,0.002132565,0.9745932],"study_design_scores_gemma":[0.0004372494,0.0001395492,0.01126082,0.0002033396,0.000005322204,0.0000585579,0.000001113008,0.9833546,0.00009336092,0.0002782729,0.00406262,0.0001051907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002382254,0.0006657918,0.9961063,0.0004175809,0.0003262447,0.00004607665,0.000001108902,0.00001674129,0.00003792121],"genre_scores_gemma":[0.8389015,0.00002468406,0.1603453,0.0004765832,0.0002114021,8.707659e-7,0.000001614578,0.000007611075,0.00003048752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.974488,"threshold_uncertainty_score":0.4207185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003814315463858129,"score_gpt":0.1890560846570792,"score_spread":0.185241769193221,"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."}}