{"id":"W1480780803","doi":"10.1109/dcc.1997.581951","title":"Linear-time, incremental hierarchy inference for compression","year":2002,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Compression (physics); Data compression; Hierarchy; Sequence (biology); Paraphrase; Compression ratio; Artificial intelligence; Algorithm; Data compression ratio; Image compression; Theoretical computer science; Image (mathematics); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001150333,0.0001174859,0.0001263988,0.00006097061,0.0001941564,0.000107983,0.0007930741,0.00004799416,0.0005070831],"category_scores_gemma":[0.00003133056,0.00008883355,0.00004866232,0.0001494752,0.00002733913,0.0006917492,0.000572825,0.00008026859,0.0003049416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171566,"about_ca_system_score_gemma":0.000009793699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002066031,"about_ca_topic_score_gemma":8.985705e-7,"domain_scores_codex":[0.9989907,0.00002779897,0.0001831679,0.0003337011,0.000223937,0.0002407553],"domain_scores_gemma":[0.999155,0.0001489476,0.000051919,0.0004790282,0.00005972791,0.0001053933],"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":[0.00002272786,0.0005659166,0.0004642822,0.00003768689,0.00002646803,0.00001102255,0.0004538993,0.0001891924,0.02991826,0.04515882,0.2309615,0.6921902],"study_design_scores_gemma":[0.0004386963,0.0001058951,0.0001555274,0.00002631289,0.000001701248,0.000003408732,0.000003099228,0.9427969,0.005875425,0.001133685,0.04930864,0.000150648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001808846,0.0001019067,0.9900811,0.0004507896,0.0001953301,0.0002304425,0.00001427065,0.0002300426,0.006887224],"genre_scores_gemma":[0.1909542,0.00004832269,0.8020197,0.0008692757,0.0002015446,0.0000478603,0.00004075541,0.00001355068,0.005804841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9426078,"threshold_uncertainty_score":0.5552204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454588049591423,"score_gpt":0.27938073763913,"score_spread":0.2448348571432157,"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."}}