{"id":"W2131722477","doi":"10.1109/ccece.1998.685568","title":"Air traffic control trainer software development: multi-agent architecture and Java prototype","year":2002,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Process (computing); Computer science; Trainer; Systems engineering; Software engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380874,0.0003862685,0.0003694269,0.0002780225,0.0004067357,0.000880681,0.00163608,0.000717163,0.003299335],"category_scores_gemma":[0.003135005,0.0005228334,0.0003701309,0.0001945482,0.0003545697,0.001223843,0.0005970268,0.001010293,0.0008220389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757276,"about_ca_system_score_gemma":0.0009944149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00314163,"about_ca_topic_score_gemma":0.002582919,"domain_scores_codex":[0.9992855,0.0002345553,0.00005516804,0.0001024834,0.0002591724,0.00006314096],"domain_scores_gemma":[0.9988555,0.0005275928,0.00006389455,0.0002085074,0.0002480887,0.0000963682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001517233,0.002846628,0.005826722,0.0008285873,0.0001375809,0.001542776,0.003686854,0.1841293,0.1767296,0.04111093,0.01445195,0.5671918],"study_design_scores_gemma":[0.00062162,0.001062424,0.002408931,0.0001178162,0.00009224941,0.0006864779,0.0002758659,0.8427151,0.08850698,0.003938434,0.05949096,0.00008307202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1155131,0.0001494806,0.8532465,0.0003330102,0.00006735021,0.0006758397,0.0001274808,0.01841087,0.01147645],"genre_scores_gemma":[0.2808622,0.0002849827,0.7055621,0.0001071577,0.00001383304,0.0006364772,0.0004582459,0.001791098,0.01028396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003299335,"threshold_uncertainty_score":0.01103735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073935821490393,"score_gpt":0.1752559124160624,"score_spread":0.1645165542011585,"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."}}