{"id":"W2366160067","doi":"","title":"Study of Adaptive High Speed MPEG Data Multiplexer/Demultiplexer","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiplexer; Computer science; Demultiplexer; Realization (probability); Key (lock); Broadcasting (networking); Computer hardware; Multiplexing; Wireless; Computer network; Real-time computing; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003025831,0.0002048685,0.0002383646,0.0002734066,0.0002252926,0.0005356832,0.0003832222,0.0004393311,0.00152036],"category_scores_gemma":[0.0005631574,0.0001896328,0.000224732,0.0002510709,0.000346701,0.0007215253,0.0001374845,0.0002912043,0.0002230235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216682,"about_ca_system_score_gemma":0.0002147476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007951159,"about_ca_topic_score_gemma":0.0005144989,"domain_scores_codex":[0.999796,0.00003886318,0.000005219038,0.00004806607,0.00009166281,0.00002022888],"domain_scores_gemma":[0.9998227,0.00007090512,0.00002465514,0.00001065806,0.00006126417,0.000009800387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003802152,0.0001666549,0.004077167,0.0005661892,0.00009428489,0.001259077,0.0009126417,0.1585377,0.349704,0.3546775,0.002945838,0.1266787],"study_design_scores_gemma":[0.00003657478,0.0006298415,0.002957899,0.00006439331,0.00003877979,0.0009913637,0.0001724504,0.8929306,0.06013539,0.02128009,0.02071498,0.00004769981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4303781,0.02202059,0.46036,0.001331846,0.0003761972,0.0001335134,0.00006768943,0.0002298849,0.08510215],"genre_scores_gemma":[0.9542016,0.004757128,0.02431767,0.00007991499,0.0001500863,0.00003548805,0.00003071117,0.00002031236,0.0164072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00152036,"threshold_uncertainty_score":0.005086124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948457741528375,"score_gpt":0.2615293583484111,"score_spread":0.2320447809331274,"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."}}