{"id":"W2336378046","doi":"10.1177/0272989x16643940","title":"Linked Sensitivity Analysis, Calibration, and Uncertainty Analysis Using a System Dynamics Model for Stroke Comparative Effectiveness Research","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Center for Research Resources; Duke-NUS Medical School; U.S. Department of Veterans Affairs","keywords":"Robustness (evolution); Sensitivity (control systems); Uncertainty analysis; Calibration; Computer science; Stroke (engine); Statistics; Simulation; Mathematics; Engineering","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":[0.0758976,0.003166387,0.003363795,0.006213043,0.001459794,0.00401485,0.002470432,0.003028592,0.003833489],"category_scores_gemma":[0.1343831,0.001591069,0.007888032,0.002742327,0.003099525,0.003213363,0.006606284,0.005109936,0.000197459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006253936,"about_ca_system_score_gemma":0.007406845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008202266,"about_ca_topic_score_gemma":0.005257432,"domain_scores_codex":[0.9173012,0.07551242,0.001223541,0.002241576,0.002878024,0.0008431865],"domain_scores_gemma":[0.824956,0.1643178,0.004592863,0.002530223,0.003060941,0.0005422494],"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":[0.0001521722,0.0001261511,0.002481374,0.0003871653,0.001063703,0.0001727655,0.0003330064,0.9223043,0.0003518268,0.05940083,0.0003482155,0.01287847],"study_design_scores_gemma":[0.00005023037,0.0002094606,0.00063139,0.0001424286,0.000242307,0.00002874064,0.0001014148,0.9335952,0.000334999,0.06383409,0.0007647416,0.00006498918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02004522,0.0005659626,0.9757589,0.0005214874,0.00005832203,0.0008002995,0.0001583684,0.0001199074,0.001971589],"genre_scores_gemma":[0.566967,0.001080313,0.4261774,0.000415047,0.0001016408,0.003875835,0.0002159178,0.00007018165,0.001096811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0758976,"threshold_uncertainty_score":0.4013897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4933747482737216,"score_gpt":0.5373113945109718,"score_spread":0.04393664623725013,"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."}}