{"id":"W2894213142","doi":"10.22360/summersim.2018.scsc.023","title":"A Cell-DEVS Visualization and Analysis Platform","year":2018,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Visualization; JavaScript; DEVS; HTML5; Data visualization; Web application; JSON; Software; Process (computing); Modeling and simulation; Database; Data mining; Programming language; World Wide Web; 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":[0.001118165,0.0008210584,0.0006855952,0.001064409,0.0005234191,0.001738883,0.002231026,0.000852643,0.02581056],"category_scores_gemma":[0.002462257,0.0005342102,0.001049675,0.0007640706,0.0003493566,0.001060002,0.001794357,0.001610952,0.006439081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006767823,"about_ca_system_score_gemma":0.001558162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324688,"about_ca_topic_score_gemma":0.003329052,"domain_scores_codex":[0.9995487,0.00005187405,0.00003849408,0.00007248495,0.0002421069,0.00004626357],"domain_scores_gemma":[0.9990609,0.0003612478,0.00004944766,0.0001565126,0.0002623195,0.0001095844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001366455,0.0006736426,0.009246361,0.001288787,0.0003279297,0.001690086,0.0009236749,0.1414389,0.08000565,0.07471862,0.4510754,0.2372445],"study_design_scores_gemma":[0.0003212991,0.00009345433,0.001981309,0.0001149196,0.00005221034,0.0003607306,0.00009633762,0.6081666,0.05280392,0.02446192,0.3113893,0.0001579478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01213861,0.0002530159,0.7506413,0.0006169376,0.0003242181,0.0002802429,0.01835451,0.199894,0.01749713],"genre_scores_gemma":[0.202052,0.001325154,0.6440583,0.001117111,0.0002546308,0.002158189,0.08520719,0.03725049,0.02657704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02581056,"threshold_uncertainty_score":0.08634496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227797855168242,"score_gpt":0.461364324843383,"score_spread":0.3385845393265589,"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."}}