{"id":"W7026620860","doi":"","title":"Análisis empírico del efecto del tamaño de la información de entrada en el desempeño de herramientas de compresión sin pérdida","year":2010,"lang":"es","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Period (music); Event (particle physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007120016,0.0008920562,0.001021034,0.002088391,0.0007894103,0.003501801,0.0007515362,0.001134823,0.008092539],"category_scores_gemma":[0.05894376,0.0008365705,0.0008447435,0.002307545,0.001187899,0.003401809,0.001131388,0.001439517,0.001597768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502076,"about_ca_system_score_gemma":0.001208206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237267,"about_ca_topic_score_gemma":0.01143224,"domain_scores_codex":[0.9961415,0.001840342,0.0003181566,0.0005657724,0.0009316506,0.0002025646],"domain_scores_gemma":[0.902252,0.08628055,0.003179991,0.003586038,0.004313163,0.0003882286],"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":[0.01125925,0.0008886393,0.2601641,0.00430681,0.00145203,0.0008654102,0.0080937,0.07053284,0.1172109,0.007551349,0.004860399,0.5128145],"study_design_scores_gemma":[0.0004035478,0.004831115,0.5916563,0.001127801,0.002899656,0.001258629,0.009098631,0.2107697,0.1370341,0.009574489,0.03085286,0.0004931308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659142,0.003102089,0.01911913,0.000625256,0.00005274572,0.0001711338,0.000867499,0.0004953402,0.009652515],"genre_scores_gemma":[0.9726123,0.001351379,0.02031931,0.0001126528,0.00003345102,0.0001871383,0.0007251757,0.0003262284,0.004332254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237267,"threshold_uncertainty_score":0.0376547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477429917751369,"score_gpt":0.2747023274575344,"score_spread":0.2599280282800207,"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."}}