{"id":"W2096117819","doi":"10.5555/1999416.1999459","title":"Creation of DEVS models using imitation learning","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Formalism (music); Imitation; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008940618,0.0005225335,0.0007551181,0.0005403483,0.0003785336,0.000977817,0.001314098,0.0009200962,0.00234667],"category_scores_gemma":[0.003801727,0.000557414,0.001113351,0.0003228918,0.001024965,0.001108821,0.001366618,0.001138171,0.0003810641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625248,"about_ca_system_score_gemma":0.0007796487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060427,"about_ca_topic_score_gemma":0.003487979,"domain_scores_codex":[0.9995383,0.0001469233,0.00003766428,0.0000715965,0.0001695894,0.00003601183],"domain_scores_gemma":[0.9984531,0.0008206911,0.0001635074,0.0002879508,0.0002123257,0.00006234231],"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":[0.00002239441,0.00001750515,0.0005229129,0.00004111431,0.00002053722,0.00009601181,0.00006225102,0.9648473,0.002272707,0.02264683,0.0002234832,0.00922702],"study_design_scores_gemma":[0.000003558533,0.000006083525,0.0000338936,0.000003696508,0.000002324658,0.00001213484,0.000003916825,0.9946373,0.0006299873,0.00406363,0.0006000933,0.000003307205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03155924,0.00008628237,0.9611461,0.0001449955,0.00003932733,0.00008232822,0.0001472231,0.0008089505,0.005985566],"genre_scores_gemma":[0.6195571,0.0002191574,0.3754512,0.00006298804,0.00002072906,0.0002695844,0.0005117173,0.0001983974,0.003709071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004060427,"threshold_uncertainty_score":0.008073568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2674039785972962,"score_gpt":0.4874815746862221,"score_spread":0.2200775960889259,"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."}}