{"id":"W2386349713","doi":"","title":"Design and Implementation of Video Imag Acquisition System Using Based on CPLD and DSP Technology","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Complex programmable logic device; Debugging; Digital signal processing; Computer hardware; Embedded system; Transmission (telecommunications); Electronic circuit; Telecommunications; Electrical engineering; Operating system","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":[0.00007530783,0.0001025462,0.0001045339,0.000180104,0.0001028247,0.00003250697,0.00008184413,0.00005798764,0.000002973808],"category_scores_gemma":[1.017048e-7,0.0001132017,0.00001345211,0.0002186799,0.0000442244,0.00007477384,0.00002613874,0.00005954442,0.000002800211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005913161,"about_ca_system_score_gemma":0.00001426972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004760545,"about_ca_topic_score_gemma":7.483502e-7,"domain_scores_codex":[0.9994638,0.000008119686,0.0001982464,0.0001729358,0.00004546165,0.0001114155],"domain_scores_gemma":[0.9996878,0.00002909488,0.00005176614,0.000156089,0.00004870321,0.00002657912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003953025,0.00005215572,0.0001581253,0.000379612,0.00001828869,2.446528e-7,0.0001299026,0.01888968,0.5050033,0.004625553,0.0004174784,0.4703217],"study_design_scores_gemma":[0.0003203891,0.00002616957,0.000218933,0.00007509372,0.00003184229,0.00002375703,0.00005684165,0.6934259,0.299189,0.0004302047,0.006030869,0.000171034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01537749,0.0001939777,0.9831181,0.0002269734,0.000002374363,0.0006368924,0.00001116566,0.0003863315,0.00004669217],"genre_scores_gemma":[0.4924044,0.000009248133,0.5072662,0.00003562878,0.00002222322,0.0002413917,0.000007937644,0.00001211689,8.17789e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6745362,"threshold_uncertainty_score":0.4616233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007495441289007173,"score_gpt":0.2550126110562803,"score_spread":0.2475171697672731,"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."}}