{"id":"W2575268688","doi":"10.5555/3042094.3042278","title":"Agile design meets hybrid models: using modularity to enhance hybrid model design and use","year":2016,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Agile software development; Computer science; Modularity (biology); Key (lock); Software engineering; Systems engineering; System dynamics; Focus (optics); Hybrid system; Distributed computing; Artificial intelligence; Engineering; Machine learning","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":[0.002441698,0.0003151459,0.0005007845,0.0004029663,0.0002585491,0.0009944104,0.0006957941,0.0000637697,0.0002040943],"category_scores_gemma":[0.002457799,0.0002148687,0.0001044415,0.0002933527,0.00008909446,0.002004452,0.0004307525,0.0001029122,0.0001119986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009292676,"about_ca_system_score_gemma":0.000144772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003684389,"about_ca_topic_score_gemma":0.000008361317,"domain_scores_codex":[0.9955302,0.0005749797,0.001037839,0.001155844,0.00128585,0.0004152519],"domain_scores_gemma":[0.9931337,0.003924907,0.0003479132,0.001048869,0.001234396,0.0003102622],"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":[0.0001336607,0.00002051986,0.00008304137,0.000001778673,0.000008426157,0.000007791085,0.0002732898,0.9597247,0.007899675,0.001796155,0.0007611676,0.02928981],"study_design_scores_gemma":[0.0002474523,0.00004951316,0.0001051194,0.0001402833,0.000007670385,0.00001245003,0.0000182317,0.8655328,0.002838125,0.1303861,0.0003747144,0.0002875809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565407,0.00004561611,0.8422405,0.0002162763,0.0002108061,0.0005580235,0.00002761114,0.00006948769,0.00009105552],"genre_scores_gemma":[0.8697003,0.000002001193,0.1288706,0.0002460374,0.00004904288,0.00001385071,4.320105e-7,0.00002286682,0.001094903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7133699,"threshold_uncertainty_score":0.9589122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.436596048260766,"score_gpt":0.4304706537827125,"score_spread":0.006125394478053436,"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."}}