{"id":"W4407363760","doi":"10.1007/978-3-031-81342-9_24","title":"Digital Twin for Diabetes Management Using System Dynamics Simulation - The Case of India","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Computer science; Dynamics (music); System dynamics; Artificial intelligence; Psychology","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":[0.0003241656,0.0001255662,0.0001406564,0.0005400953,0.0001990165,0.000322135,0.0006350792,0.0000825416,6.592568e-7],"category_scores_gemma":[0.000009254037,0.0001158531,0.00003540713,0.0002511986,0.0003095925,0.003166497,0.0002680205,0.0001546025,0.000001702644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295165,"about_ca_system_score_gemma":0.00003898181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.341044e-7,"about_ca_topic_score_gemma":0.000001188498,"domain_scores_codex":[0.9991112,0.000004549438,0.0005742959,0.00007195868,0.0001263515,0.0001116806],"domain_scores_gemma":[0.9987654,0.0002466501,0.0001311192,0.0006577593,0.0001743842,0.0000246763],"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":[9.689987e-7,0.00000414717,0.00002324154,0.0006771976,0.00002134644,2.711419e-7,0.0004021944,0.2707761,9.146724e-8,0.4675706,0.00004024372,0.2604836],"study_design_scores_gemma":[0.000115482,0.000006827275,0.00002782406,0.0004074493,0.00001262984,0.000008475038,0.000197437,0.9907215,0.00000226367,0.0005279934,0.00786564,0.0001064714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005372228,0.00007443711,0.4022785,0.0000335607,0.0002524837,0.0007859163,0.0002926569,0.00008032828,0.5956649],"genre_scores_gemma":[0.9892923,0.00007313085,0.01008434,0.00004127906,0.00001229238,0.0000342068,0.0001536537,0.000009270327,0.0002995617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.988755,"threshold_uncertainty_score":0.4724352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753392698624944,"score_gpt":0.268691666675662,"score_spread":0.2411577396894126,"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."}}