{"id":"W2361329416","doi":"","title":"Implementation of Electronic Map for Railway Transportation Dispatchingand Monitoring Based on MapX","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Component (thermodynamics); Geographic information system; Transport engineering; Systems engineering; Remote sensing","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":[0.000442205,0.0003516848,0.0002722143,0.0005285847,0.0003129808,0.000775735,0.0008655743,0.0003785206,0.00585481],"category_scores_gemma":[0.0007409214,0.0002264007,0.0002279353,0.0004164641,0.0001938602,0.0008629099,0.0004384815,0.0004043429,0.001456712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476554,"about_ca_system_score_gemma":0.0005444779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578581,"about_ca_topic_score_gemma":0.001041608,"domain_scores_codex":[0.9996389,0.00007750938,0.00002466985,0.00004935384,0.0001657507,0.00004380391],"domain_scores_gemma":[0.9997403,0.00004304358,0.00001939582,0.00006884724,0.0001037886,0.00002453738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004616008,0.0003341512,0.008981588,0.0005393248,0.0001098053,0.001056504,0.001124082,0.01607344,0.1441248,0.04018464,0.02471251,0.7622976],"study_design_scores_gemma":[0.0001741216,0.0007111563,0.01325819,0.0001159032,0.0001921116,0.001518355,0.0005260834,0.2029329,0.3305051,0.006552454,0.4433949,0.0001187376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04222632,0.0003019084,0.9220868,0.0002832544,0.0001923429,0.000324268,0.0002841104,0.01482161,0.01947933],"genre_scores_gemma":[0.4167343,0.0005953251,0.5459982,0.0001416055,0.00009639889,0.0003964186,0.00147926,0.0007645255,0.03379399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00585481,"threshold_uncertainty_score":0.01958632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005789935695610348,"score_gpt":0.2543915953850596,"score_spread":0.2486016596894492,"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."}}