{"id":"W3154123526","doi":"10.1007/978-981-33-4359-7_8","title":"Towards Using Micro-services for Transportation Management Systems","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Microservices; Traffic congestion; Population; Computer science; Transport engineering; Intelligent transportation system; Engineering; Cloud computing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001314249,0.0004390168,0.0004496104,0.0002437441,0.0001542428,0.000355362,0.001143763,0.0002484341,0.00004594803],"category_scores_gemma":[1.232542e-7,0.0004025548,0.0002606446,0.0001025553,0.00001388406,0.0002639587,0.0001204848,0.0001474963,0.00001918404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005838697,"about_ca_system_score_gemma":0.00007055837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002888653,"about_ca_topic_score_gemma":0.0003611238,"domain_scores_codex":[0.997862,0.00001307095,0.0005037494,0.0008592067,0.0004289864,0.0003330066],"domain_scores_gemma":[0.9985499,0.00003539477,0.0002732318,0.0007947062,0.000241546,0.000105165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009787242,0.00001826474,0.000002478745,0.002932892,0.0003025939,0.000057858,0.0007253658,0.000544992,0.0001469712,0.9856921,0.00007891901,0.009487762],"study_design_scores_gemma":[0.0008558669,0.0001034927,0.00004320786,0.002017408,0.0004498563,0.00003363762,0.0005010521,0.02988143,0.001089304,0.01624178,0.947468,0.001314927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001599773,0.003250698,0.6973762,0.0003423901,0.002117507,0.00125616,0.0001274557,0.0003515595,0.295018],"genre_scores_gemma":[0.003477743,0.0008819254,0.5251209,0.006799723,0.001605805,0.0002251026,0.002326422,0.0003128081,0.4592496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9694504,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778411119108804,"score_gpt":0.234533126120783,"score_spread":0.2167490149296949,"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."}}