{"id":"W2352342278","doi":"","title":"Application of LZW Data Compression Coding in USB Data Acquisition System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USB; Computer science; Computer hardware; Embedded system; Data compression; Coding (social sciences); eXtensible Host Controller Interface (xHCI); Data acquisition; Digital signal processing; Host controller interface; USB hub; Operating system; Software; Artificial intelligence","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":[0.0002831811,0.0003606002,0.0002479732,0.0008780512,0.000347056,0.0003823225,0.0004305711,0.0004450595,0.001566755],"category_scores_gemma":[0.001021067,0.0001428374,0.0001494779,0.0009207004,0.0004071502,0.0007780794,0.0003753205,0.0003918337,0.0004906817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032521,"about_ca_system_score_gemma":0.0003864972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008754263,"about_ca_topic_score_gemma":0.0007574864,"domain_scores_codex":[0.9995826,0.00006802273,0.00002248051,0.0000373709,0.0002588951,0.00003058132],"domain_scores_gemma":[0.9996542,0.00009278207,0.00003494021,0.00005556028,0.0001477256,0.0000148489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005834262,0.00008149957,0.00157306,0.000349778,0.00003488239,0.0005609757,0.0004662025,0.01109343,0.4154368,0.01968464,0.002630095,0.5475053],"study_design_scores_gemma":[0.00006536771,0.0003272555,0.00156752,0.00004741495,0.00003411864,0.001463119,0.0001286875,0.1849312,0.7880913,0.003691047,0.0195953,0.00005766276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1738178,0.001678116,0.8121377,0.0005645185,0.0001842272,0.0001439318,0.0001311028,0.001634788,0.009707768],"genre_scores_gemma":[0.6613361,0.00130874,0.3283417,0.0001710187,0.0001293875,0.0001236973,0.0002526774,0.0001429531,0.00819383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001566755,"threshold_uncertainty_score":0.005241334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957253202680772,"score_gpt":0.2745071533006937,"score_spread":0.244934621273886,"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."}}