{"id":"W4308087731","doi":"10.1109/ds-rt55542.2022.9932072","title":"Metadata Specification for DEVS simulation models","year":2022,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Metadata; Composability; DEVS; Documentation; Computer science; Reusability; Metadata modeling; Software engineering; Discrete event simulation; Metadata repository; Database; World Wide Web; Distributed computing; Programming language; Modeling and simulation; Simulation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001579241,0.00006251332,0.0001039853,0.0001699695,0.0004832245,0.0001798791,0.0005576783,0.00001970953,0.001656088],"category_scores_gemma":[0.0002660611,0.00005270572,0.00008158386,0.0006434688,0.00001514221,0.0006202522,0.0001378107,0.00005128407,0.00003500973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004753979,"about_ca_system_score_gemma":0.00002918515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185757,"about_ca_topic_score_gemma":0.000003541074,"domain_scores_codex":[0.998327,0.00005896695,0.0004416281,0.0003473984,0.000719542,0.0001054928],"domain_scores_gemma":[0.9977139,0.001162297,0.0001578545,0.0006671863,0.0002593937,0.00003932036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001066587,0.00003061537,0.00003677089,2.736949e-7,0.000002171025,2.251136e-8,0.0000463441,0.6163903,0.000155011,0.3402976,0.01380277,0.02922741],"study_design_scores_gemma":[0.0000659182,0.00001171789,0.00008719703,8.137851e-8,0.000002454668,2.122344e-7,0.000139509,0.4777346,0.0001924458,0.251536,0.2701906,0.00003922338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002751521,0.00001691,0.9847265,0.001575163,0.00006205688,0.0006254164,0.00009541851,0.0001233902,0.01002355],"genre_scores_gemma":[0.9534729,0.000001038873,0.03163689,0.0003681126,0.00004151861,0.0003986007,0.0000917404,0.000008498562,0.01398074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9530897,"threshold_uncertainty_score":0.9992566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6320070055106776,"score_gpt":0.5260361463835084,"score_spread":0.1059708591271692,"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."}}