{"id":"W2129949151","doi":"10.1002/nem.388","title":"ATM test‐bed architecture for training purposes","year":2001,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Training (meteorology); Test (biology); Architecture; Field (mathematics); Engineering management; Operations research; Engineering","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":[0.0008283263,0.0001298341,0.0001921076,0.0002365378,0.00007975335,0.0002405596,0.001863969,0.00003211426,0.00001001199],"category_scores_gemma":[0.00007013343,0.0001136524,0.0001693716,0.0002442291,0.00001602733,0.0003114062,0.0002551635,0.0001338955,0.000005143298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199875,"about_ca_system_score_gemma":0.00003203497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001047441,"about_ca_topic_score_gemma":0.000003061071,"domain_scores_codex":[0.9982455,0.00003662187,0.0005595719,0.0001941727,0.0006908964,0.0002731771],"domain_scores_gemma":[0.9986472,0.0002893046,0.000446096,0.0002088673,0.0003308181,0.00007773619],"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":[0.0000858252,0.00009795732,0.0007588064,0.00001783918,0.0005453184,0.0005930939,0.0007581968,0.3046213,0.00004613067,0.02855408,0.0175474,0.646374],"study_design_scores_gemma":[0.002722256,0.0003932121,0.001125397,0.0008696525,0.00006534833,0.001739555,0.0002068617,0.2032551,0.00003912895,0.07281661,0.7163357,0.0004311134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002599495,0.0003956416,0.9861825,0.003288572,0.003017145,0.000183292,0.000001491363,0.00003861601,0.004293276],"genre_scores_gemma":[0.6407155,0.000215874,0.3547684,0.001086683,0.0025805,0.00001632105,0.000001882654,0.00001578305,0.0005990665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6987883,"threshold_uncertainty_score":0.4634612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03677629542056229,"score_gpt":0.2888250046978496,"score_spread":0.2520487092772873,"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."}}