{"id":"W565187479","doi":"","title":"OPERATIONS CONTROL CENTERS INTEGRATED WORKSTATIONS: TWO CASE STUDIES","year":2001,"lang":"en","type":"article","venue":"Rail Transit ConferenceAmerican Public Transportation Association","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workstation; Control (management); Computer science; Transit (satellite); Center (category theory); Systems engineering; Software engineering; Control system; Transport engineering; Engineering; Public transport; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003022651,0.000292245,0.0003604526,0.0003166337,0.0002659128,0.000192551,0.0001260387,0.0001020999,0.000347919],"category_scores_gemma":[0.00007478323,0.0003137991,0.0001158191,0.001079773,0.00006321602,0.0008948754,0.000001201602,0.0002316565,0.00002624698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160789,"about_ca_system_score_gemma":0.00008233549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001306647,"about_ca_topic_score_gemma":0.004814814,"domain_scores_codex":[0.9981926,0.0001121771,0.000633331,0.0002992141,0.0003527045,0.0004099632],"domain_scores_gemma":[0.998825,0.0001363724,0.0001284061,0.0001639595,0.0006148064,0.0001314233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003867672,0.0001612906,0.02301172,0.00005883194,0.001231152,0.0001686534,0.006716706,0.9188092,0.0001457501,0.009215422,0.001914531,0.03852802],"study_design_scores_gemma":[0.007344495,0.0001405958,0.01717341,0.00009437816,0.0007189906,0.00004793892,0.02223296,0.9328188,0.00004377166,0.000223459,0.01785592,0.00130526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1455017,0.0001484543,0.8481202,0.00238254,0.0004673,0.0006428249,0.0001743314,0.001105631,0.001456986],"genre_scores_gemma":[0.995058,0.0008111576,0.002055043,0.0003105242,0.0000641627,0.000165317,0.001116362,0.00004166448,0.0003777472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8495563,"threshold_uncertainty_score":0.9999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666364736928112,"score_gpt":0.2434220267939645,"score_spread":0.2267583794246834,"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."}}