{"id":"W2363907780","doi":"","title":"The Design of Double CAN Bus communication System Based on ARM9","year":2008,"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":"ARM9; Computer science; Embedded system; Operating system; Kernel (algebra); Microprocessor; Realization (probability); Software; File system; Windows CE; Code (set theory); Linux kernel; Software design; Software development; Microsoft Windows; Programming language","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":[0.0001856795,0.0001152345,0.0001368194,0.00005499831,0.0003066567,0.00002342263,0.0003910159,0.0000545726,0.000001472059],"category_scores_gemma":[1.804131e-7,0.00009282587,0.00004826775,0.0002048749,0.00005370248,0.00002324015,0.00001835408,0.0001063151,0.00003933557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000077684,"about_ca_system_score_gemma":0.0000285585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003441868,"about_ca_topic_score_gemma":0.000005070151,"domain_scores_codex":[0.9992935,0.00005021009,0.0002855057,0.000120842,0.0001033505,0.0001466121],"domain_scores_gemma":[0.9989862,0.0001922293,0.00006246236,0.0006456771,0.00007165623,0.0000417566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004472188,0.0001445134,0.0001190866,0.0002721268,0.0001015364,0.000002089436,0.00105808,0.9135702,0.02173823,0.02253022,0.02777396,0.01264525],"study_design_scores_gemma":[0.001281787,0.00005842957,0.0006918468,0.0001554519,0.00002904444,0.00004977799,0.0001445238,0.7451034,0.02944691,0.0001404564,0.2224911,0.0004072721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008108528,0.0003356869,0.9941459,0.00008516054,0.00002193516,0.0009744513,0.000009840876,0.0002537637,0.003362359],"genre_scores_gemma":[0.9444441,0.00004025953,0.05454677,0.00003142562,0.00005796843,0.0007528322,0.00001708665,0.00002866002,0.00008093862],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9436332,"threshold_uncertainty_score":0.3785329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963093150157027,"score_gpt":0.2004190171320718,"score_spread":0.1807880856305015,"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."}}