{"id":"W2146909240","doi":"10.1002/spe.482","title":"CD++: a toolkit to develop DEVS models","year":2002,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":256,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Formalism (music); Computer science; Variety (cybernetics); Software engineering; Software; Formal methods; Modeling and simulation; Programming language; Simulation; Artificial intelligence","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":[0.002307287,0.001004134,0.0008206157,0.001284492,0.0007224001,0.00244464,0.003367913,0.001444691,0.0216048],"category_scores_gemma":[0.005646367,0.001337835,0.001387335,0.0008241754,0.0008519783,0.002089469,0.00288108,0.002499016,0.005424841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009227599,"about_ca_system_score_gemma":0.001888483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00372676,"about_ca_topic_score_gemma":0.00477985,"domain_scores_codex":[0.9990494,0.000305362,0.0001311841,0.0001227008,0.0003072039,0.00008427612],"domain_scores_gemma":[0.9976112,0.001502725,0.0001177828,0.0003216074,0.0002882078,0.0001586691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003212645,0.0002089742,0.002301302,0.001827429,0.0001888626,0.0007589833,0.0009473725,0.379383,0.01001102,0.3379403,0.08442353,0.181688],"study_design_scores_gemma":[0.0001762243,0.00004368421,0.0002186165,0.0002305082,0.00003449459,0.0002922906,0.0000729019,0.5671005,0.006815723,0.06859385,0.3563443,0.00007692826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002616097,0.000173806,0.954073,0.0002370943,0.0001001131,0.0002177497,0.002042239,0.0318248,0.008715113],"genre_scores_gemma":[0.04052303,0.0006213742,0.9341816,0.0001644194,0.00003574033,0.001038969,0.005345025,0.008491389,0.009598454],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0216048,"threshold_uncertainty_score":0.07227528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033200678625964,"score_gpt":0.4336497242096695,"score_spread":0.2303296563470731,"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."}}