{"id":"W2004337682","doi":"10.5539/jmr.v3n1p125","title":"Some More Noiseless Coding Theorem on Generalized R-Norm Entropy","year":2011,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; BETA (programming language); Norm (philosophy); Entropy (arrow of time); Discrete mathematics; Physics","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":[0.001130643,0.0001240448,0.000283508,0.0003847134,0.00007248227,0.00005339049,0.0004144964,0.00007769105,0.00007895994],"category_scores_gemma":[0.000121376,0.00009291474,0.0001090066,0.0001541465,0.00007828493,0.0001238834,0.00005758814,0.0005892763,0.00003005398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009107312,"about_ca_system_score_gemma":0.00002874866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003911509,"about_ca_topic_score_gemma":4.978767e-7,"domain_scores_codex":[0.998426,0.00007242897,0.0003940442,0.00007515085,0.0007150316,0.0003173098],"domain_scores_gemma":[0.9989904,0.0002046324,0.00009841567,0.0002787806,0.0003141318,0.000113712],"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":[0.0002654835,0.001100574,0.0001819606,0.0005360619,0.0006663066,0.001031876,0.0153355,0.001996436,0.308608,0.6153505,0.04899371,0.005933639],"study_design_scores_gemma":[0.0007749306,0.0004039247,0.0001703289,0.0009455866,0.00003337854,0.000222755,0.001173313,0.04265979,0.7091829,0.2430844,0.001055351,0.0002933022],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800862,0.0004767763,0.007803244,0.0001000217,0.0002725634,0.0001890173,0.000002315609,0.0001368623,0.01093297],"genre_scores_gemma":[0.9762459,0.0007073316,0.02255723,0.00002325134,0.0003210316,0.000003341956,3.30428e-7,0.00004618864,0.00009533406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.400575,"threshold_uncertainty_score":0.3788953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464761695238121,"score_gpt":0.3548416730705705,"score_spread":0.2083655035467584,"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."}}