{"id":"W2373992943","doi":"","title":"Application of CAN Bus System Base on DSP","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; System bus; CAN bus; Control bus; Local bus; Bus; IEBus; Back-side bus; Bus network; Realization (probability); Embedded system; Address bus; Digital signal processor; Field bus; Computer hardware; Controller (irrigation); Interface (matter); Control system; Electrical engineering; Operating system; Engineering","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":[0.0001019214,0.0001954389,0.0002018158,0.0001861972,0.0002105266,0.00005717624,0.001009933,0.00007082888,0.000001393234],"category_scores_gemma":[2.814491e-7,0.00020262,0.00009995145,0.0008123343,0.00005829178,0.0001167591,0.0001656024,0.0001241535,0.00005691214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188882,"about_ca_system_score_gemma":0.0000492761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042443,"about_ca_topic_score_gemma":0.000005572762,"domain_scores_codex":[0.9984518,0.00002621117,0.0004744693,0.0005838968,0.0002331974,0.0002304843],"domain_scores_gemma":[0.998467,0.0001021424,0.000268593,0.0008667425,0.0002241718,0.00007133391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001377955,0.0001886986,0.00005978858,0.00003021674,0.000006712409,5.159513e-7,0.00001830908,0.006240261,0.009867487,0.9015076,0.0009646144,0.08111446],"study_design_scores_gemma":[0.0007123019,0.0001238982,0.003662162,0.00006884081,0.00002694279,0.00007519091,0.00001816639,0.2490678,0.08613435,0.08685219,0.5724433,0.0008148626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005706486,0.00004108382,0.9942489,0.0009192469,0.00001222867,0.001043653,0.00004002201,0.0006664791,0.002457713],"genre_scores_gemma":[0.418707,0.000001908378,0.5796198,0.0002023829,0.0001338572,0.00119921,0.00007039019,0.00001493122,0.0000504526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8146554,"threshold_uncertainty_score":0.8262603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005139311260190466,"score_gpt":0.2268484032469304,"score_spread":0.2217090919867399,"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."}}