{"id":"W2352492203","doi":"","title":"Design and Realization of Interface Between DSP and CAN Controller Based on CPLD","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":"Complex programmable logic device; Computer science; Interface (matter); Digital signal processing; Embedded system; Computer hardware; Controller (irrigation); Realization (probability); System bus; Digital signal processor; Programmable logic device; CAN bus; Parallel computing","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":[0.0002077774,0.00009358232,0.0001460584,0.00008939551,0.00003877262,0.00001858683,0.00005827046,0.0000584647,0.000001492755],"category_scores_gemma":[3.554542e-7,0.00009260243,0.00001390193,0.0001046877,0.00002425611,0.0000214246,0.00001009999,0.00005585446,0.000002142377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001953245,"about_ca_system_score_gemma":0.000005267082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387538,"about_ca_topic_score_gemma":0.000003522376,"domain_scores_codex":[0.9994813,0.00001723782,0.0002104809,0.0001337591,0.00004990455,0.000107379],"domain_scores_gemma":[0.999617,0.0001533013,0.00003595206,0.0001086131,0.00003222419,0.00005291247],"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":[0.00009618876,0.0001657494,0.006078998,0.0007485826,0.0002722926,0.000002141528,0.003351049,0.1887453,0.3456231,0.007403013,0.008101745,0.4394118],"study_design_scores_gemma":[0.004214112,0.0003353248,0.03543555,0.0003115481,0.0001430723,0.00001670846,0.0001350324,0.6725836,0.1821641,0.001856152,0.1017629,0.001041822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005963963,0.0001360568,0.9928948,0.0000252807,0.000005966902,0.0005800185,0.00001032499,0.00007368199,0.000309859],"genre_scores_gemma":[0.9436488,0.000007124661,0.05615646,0.00004094051,0.00005448486,0.0000468133,0.000009508178,0.00001756302,0.0000183236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9376848,"threshold_uncertainty_score":0.3776217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069152790957288,"score_gpt":0.2269562752472941,"score_spread":0.2162647473377212,"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."}}