{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494276,0.0004592043,0.0004608956,0.001160511,0.0004456795,0.001113603,0.001952091,0.00053877,0.008954447],"category_scores_gemma":[0.001127601,0.0003105936,0.000220956,0.0004876558,0.0002697709,0.0009037709,0.0005569503,0.0005622617,0.002532201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000660298,"about_ca_system_score_gemma":0.001139441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941545,"about_ca_topic_score_gemma":0.0008668276,"domain_scores_codex":[0.9988779,0.0001493545,0.00009377183,0.000159017,0.000555039,0.0001648958],"domain_scores_gemma":[0.9991468,0.00007549395,0.00006364848,0.0001010999,0.0005629209,0.00005004456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001237289,0.0005273044,0.0154805,0.001317483,0.000178629,0.001172455,0.001055912,0.02390323,0.2667627,0.04765089,0.06274691,0.5779668],"study_design_scores_gemma":[0.0005392173,0.001710496,0.007461301,0.0001793626,0.000310079,0.002538701,0.0002829067,0.3411781,0.4078287,0.003239209,0.2345048,0.0002271067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06089398,0.0006586181,0.868084,0.0004802988,0.0005250525,0.001390002,0.0005132366,0.02139127,0.04606358],"genre_scores_gemma":[0.7354953,0.0005035067,0.2208486,0.0006156017,0.0002828946,0.00165335,0.001723834,0.0007174533,0.03815939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008954447,"threshold_uncertainty_score":0.02995557,"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."}}