{"id":"W2377426770","doi":"","title":"CAN Field-bus Controlled System of Railroad Marshalling Yard","year":2005,"lang":"en","type":"article","venue":"Retarders and Speed Control Technology","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Marshalling; Yard; Engineering; Field bus; Field (mathematics); Control bus; Bus network; System bus; CAN bus; Local bus; Network topology; Computer network; Control system; Electrical engineering; Computer science; Computer hardware; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576745,0.0002167644,0.0008686801,0.0002782041,0.00005208775,0.00001834123,0.0001702063,0.0003789186,0.00002003793],"category_scores_gemma":[0.00004766066,0.0001925074,0.0001187272,0.0001550564,0.00006356168,0.00004076591,0.00001569413,0.0002474904,0.000006639737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004903846,"about_ca_system_score_gemma":0.00001957541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004851414,"about_ca_topic_score_gemma":0.00005985817,"domain_scores_codex":[0.9987653,0.00003241365,0.0005144407,0.0002133144,0.000126119,0.0003483483],"domain_scores_gemma":[0.9993592,0.0001091479,0.00009825273,0.0002989864,0.00006749863,0.00006690173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001751509,0.0001976625,0.01805074,0.002614097,0.006017284,0.0003487858,0.001486079,0.07213446,0.3940305,0.2089633,0.006785763,0.2876198],"study_design_scores_gemma":[0.03864337,0.0005716741,0.0002805244,0.0005082996,0.0005138529,0.0002916123,0.0027523,0.9209328,0.01361169,0.001030273,0.01964364,0.001220026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804072,0.03098901,0.03839916,0.00713102,0.0008925396,0.002647521,0.00004743199,0.002594986,0.03689118],"genre_scores_gemma":[0.9989378,0.0001566362,0.0005607102,0.0000644779,0.0000969441,0.000024713,0.000001266179,0.00002916073,0.0001282311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8487983,"threshold_uncertainty_score":0.7850226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004154774706039735,"score_gpt":0.1809650120526776,"score_spread":0.1768102373466379,"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."}}