{"id":"W3087913195","doi":"10.22360/springsim.2020.tms.004","title":"A Model Library for Finite State Machines in Cadmium","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Formalism (music); Finite-state machine; Computer science; Discrete event simulation; Modeling and simulation; Extension (predicate logic); Theoretical computer science; State (computer science); Programming language; 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":[0.001255085,0.001450468,0.001190457,0.001402635,0.0009311718,0.002322189,0.003313852,0.001372848,0.02292516],"category_scores_gemma":[0.003042117,0.001230229,0.002750437,0.001399668,0.000857026,0.002844403,0.002395892,0.002340739,0.008198555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842922,"about_ca_system_score_gemma":0.002918248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006325762,"about_ca_topic_score_gemma":0.008442876,"domain_scores_codex":[0.9990466,0.0001396505,0.0001410408,0.0001831004,0.0004042073,0.00008535084],"domain_scores_gemma":[0.9988179,0.0005451994,0.00008012495,0.0002938573,0.0002216959,0.00004117695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004579384,0.0002870644,0.00263677,0.002163353,0.0002057577,0.001079487,0.0007643396,0.3684623,0.0153366,0.4160562,0.08268692,0.1098631],"study_design_scores_gemma":[0.0001802669,0.00007502484,0.0002872989,0.0002275139,0.0000739883,0.0004295706,0.00006995212,0.4298806,0.01842198,0.08123986,0.4690152,0.00009869262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002069516,0.0001540123,0.949762,0.0001439252,0.00006866774,0.0001670245,0.005847721,0.03272035,0.009066667],"genre_scores_gemma":[0.09091163,0.001327855,0.8234832,0.0005057618,0.00007729926,0.002052139,0.03632497,0.01108519,0.03423189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02292516,"threshold_uncertainty_score":0.07669234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2543357960768344,"score_gpt":0.430221882019896,"score_spread":0.1758860859430617,"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."}}