{"id":"W2369272777","doi":"","title":"Design and Implementation of Train Network Interface Unit Based on HDLC Protocol","year":2013,"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; Embedded system; Interface (matter); Network interface controller; Communications protocol; Protocol (science); Software; Network interface; Computer network; CAN bus; Computer hardware; 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":[0.000137788,0.0001504992,0.0001352151,0.00009325317,0.0001541021,0.00009381687,0.0005265992,0.00004207772,0.00002361445],"category_scores_gemma":[2.578629e-7,0.0001471272,0.00003583867,0.0004643347,0.00004941376,0.0002099174,0.0001324871,0.00009358114,0.00002921471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000251421,"about_ca_system_score_gemma":0.00005498608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001426009,"about_ca_topic_score_gemma":8.549566e-7,"domain_scores_codex":[0.9989014,0.00005439733,0.0003340651,0.0003829496,0.0001300333,0.0001971909],"domain_scores_gemma":[0.9990385,0.0001732623,0.0001764438,0.0003868803,0.0001522692,0.00007271089],"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":[0.000005170974,0.0002019273,0.0001031904,0.00004662481,0.00001608169,1.787515e-7,0.0001881484,0.08115422,0.007387721,0.112771,0.004564565,0.7935612],"study_design_scores_gemma":[0.001042287,0.0003337881,0.003976542,0.00005167013,0.000008880606,0.000009288246,0.00002455438,0.6944951,0.03226936,0.1100835,0.1572569,0.0004481531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001046868,0.000004106671,0.958479,0.001131051,0.000003278532,0.03995802,0.000003164695,0.0001797568,0.0001369259],"genre_scores_gemma":[0.02246874,6.623466e-7,0.8309798,0.0005103133,0.00003435993,0.1459695,0.000008115043,0.00001123507,0.00001724299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7931131,"threshold_uncertainty_score":0.5999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870225903154203,"score_gpt":0.3306428730757625,"score_spread":0.3119406140442205,"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."}}