{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006959238,0.0001134435,0.0001372042,0.0001138476,0.0003145842,0.000347343,0.0004420859,0.00005914068,0.0004492863],"category_scores_gemma":[0.0112563,0.0000925228,0.00002408418,0.001341686,0.0000655632,0.001698291,0.0001992325,0.0001066726,0.0005847819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002375634,"about_ca_system_score_gemma":0.00003177308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005408732,"about_ca_topic_score_gemma":0.000007866632,"domain_scores_codex":[0.9981884,0.00005968179,0.000375117,0.0004829201,0.0006520406,0.0002418063],"domain_scores_gemma":[0.99683,0.001674744,0.0001285137,0.0005136544,0.0006737824,0.0001792354],"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":[0.00004158902,0.0001680414,0.002354268,0.000003095787,0.000009223596,0.00001223374,0.04845598,0.0006937145,0.0002289286,0.03465862,0.03632615,0.8770481],"study_design_scores_gemma":[0.0001489721,0.00007071902,0.0007754376,0.00001145772,0.000007524369,0.0000586159,0.01089027,0.00625764,0.0004974542,0.03601893,0.944935,0.0003280336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063438,0.0003980504,0.8711514,0.007838501,0.000102316,0.0004121235,0.000008379206,0.0003010776,0.01344434],"genre_scores_gemma":[0.8342833,0.0000974804,0.1585321,0.004361526,0.00003574693,0.0001578376,8.038257e-7,0.00000885694,0.002522332],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9086088,"threshold_uncertainty_score":0.9970723,"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."}}