{"id":"W7100839026","doi":"","title":"Post BWT Stages of the . . .","year":2010,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lossless compression; Data compression; Context (archaeology); Entropy encoding; Compression (physics); Image compression; Entropy (arrow of time); Sequence (biology)","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":[0.00006463297,0.00002944196,0.0000337608,0.00000994042,0.00004392931,0.0000272261,0.0007828769,0.0000172187,0.00007130342],"category_scores_gemma":[0.00001679991,0.00001440984,0.00002097537,0.00007144836,0.00002533514,0.0001719748,0.0004439769,0.00007047768,0.00001373759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.815957e-7,"about_ca_system_score_gemma":0.00001900146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007425929,"about_ca_topic_score_gemma":0.0000237699,"domain_scores_codex":[0.9996818,0.000008162146,0.0000571989,0.00008345192,0.0001102448,0.00005912462],"domain_scores_gemma":[0.9993573,0.00002345477,0.00002624969,0.0005349057,0.00003898727,0.00001906438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001633155,0.00008514917,0.006272368,0.000007372177,0.000005719952,0.000001516492,0.0002764303,0.000005687367,0.2519139,0.5157567,0.008718045,0.2169555],"study_design_scores_gemma":[0.000517744,0.0001277917,0.3208931,0.00003032292,0.00000554495,0.00003001157,0.00006032594,0.05193704,0.394334,0.01329924,0.218393,0.0003719017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4255389,0.00004680795,0.5265311,0.004766632,0.003091085,0.0002029409,0.00002687089,0.0001815162,0.03961411],"genre_scores_gemma":[0.9374853,0.000001489815,0.06069572,0.0002947992,0.00003318455,8.095371e-7,5.221355e-7,0.000001674262,0.001486521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5119463,"threshold_uncertainty_score":0.1454793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006775126799224583,"score_gpt":0.2272016915148206,"score_spread":0.220426564715596,"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."}}