{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003963492,0.0005458643,0.0002589886,0.0004961159,0.0002732833,0.000745674,0.001509352,0.0006783382,0.01457158],"category_scores_gemma":[0.0007198444,0.0002483151,0.0001843212,0.0003084874,0.0002398782,0.0006810429,0.0005854499,0.000638801,0.003417294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781251,"about_ca_system_score_gemma":0.0005365433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466947,"about_ca_topic_score_gemma":0.001451621,"domain_scores_codex":[0.9996158,0.0001049601,0.0000235549,0.00005928782,0.0001256378,0.00007072016],"domain_scores_gemma":[0.9993755,0.00009766028,0.0000321907,0.00009820385,0.0003141624,0.00008228354],"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":[0.002219897,0.0009337363,0.00813922,0.0007509812,0.0001545198,0.001233891,0.00040098,0.2383594,0.2341566,0.03125793,0.06243513,0.4199577],"study_design_scores_gemma":[0.0001817476,0.0009991804,0.004056106,0.0001056189,0.000125363,0.0005730941,0.0001066297,0.6802759,0.2055377,0.006436027,0.1015068,0.00009586923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2451082,0.0009592515,0.6365443,0.001193595,0.0006663213,0.0009438818,0.001113186,0.04546447,0.06800679],"genre_scores_gemma":[0.9069895,0.000228939,0.06781746,0.0003001842,0.00008082763,0.0002778472,0.001165704,0.0002738539,0.0228657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01457158,"threshold_uncertainty_score":0.04874676,"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."}}