{"id":"W2078005650","doi":"10.1177/0037549706073698","title":"Applying Cell-DEVS Methodology for Modeling the Environment","year":2006,"lang":"en","type":"article","venue":"SIMULATION","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Cellular automaton; Formalism (music); Distributed computing; Usability; Discrete event simulation; Automaton; Modeling and simulation; Theoretical computer science; Simulation; Artificial intelligence; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.0002659074,0.00005045611,0.00004933491,0.00002138421,0.0001897932,0.00004166034,0.0002100853,0.00002814285,0.000003412133],"category_scores_gemma":[0.000006402714,0.00003934518,0.00003681759,0.00006241006,0.000008850597,0.00009345372,0.00004886417,0.00003163297,0.00002047138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896887,"about_ca_system_score_gemma":0.000007279212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274254,"about_ca_topic_score_gemma":0.000001401833,"domain_scores_codex":[0.9994947,0.00003545971,0.0001250572,0.0001615915,0.00007860199,0.0001045642],"domain_scores_gemma":[0.9993786,0.0002815921,0.00004385681,0.0002717914,0.00001332973,0.00001083958],"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":[4.999001e-7,0.00001034687,0.00001234388,0.000002215202,9.038266e-7,3.731507e-8,0.00005984951,0.9546728,0.005500327,0.02791165,0.00001791991,0.01181115],"study_design_scores_gemma":[0.0001036816,0.000004865441,0.00005409269,6.346421e-7,0.000004456806,2.189146e-7,0.000009159076,0.9597042,0.002076715,0.02906619,0.008927393,0.00004836907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009217424,0.00006219361,0.9894879,0.0002687648,0.00003940063,0.0004850845,0.00000105454,0.00006412432,0.0003740132],"genre_scores_gemma":[0.8431855,8.062999e-7,0.1563727,0.00005707464,0.00004809832,0.0002024894,0.00001329044,0.000004085572,0.0001159201],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.833968,"threshold_uncertainty_score":0.160445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07650001709710176,"score_gpt":0.3021696976145776,"score_spread":0.2256696805174758,"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."}}