{"id":"W2167282503","doi":"10.1016/j.jval.2013.11.012","title":"Core Discrete Event Simulation Model for the Evaluation of Health Care Technologies in Major Depressive Disorder","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Treatment of Major Depression","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discontinuation; Time horizon; Tolerability; Economic evaluation; Medicine; Health care; Major depressive disorder; Adverse effect; Quality-adjusted life year; Actuarial science; Computer science; Psychiatry; Cost effectiveness; Economics; Risk analysis (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736023,0.0001302298,0.0003536336,0.0001857356,0.00009937833,0.000003978789,0.00009909229,0.0000939587,0.000002184225],"category_scores_gemma":[0.0008265515,0.00008623515,0.00005714203,0.0001925736,0.00004365897,0.00005501761,0.00004055404,0.0001489824,6.72969e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725871,"about_ca_system_score_gemma":0.0004567136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621498,"about_ca_topic_score_gemma":0.0005660336,"domain_scores_codex":[0.9981109,0.0002650875,0.0005892745,0.0002749999,0.0004899746,0.000269767],"domain_scores_gemma":[0.9985453,0.0004944343,0.000361355,0.0004233925,0.0001407303,0.00003475325],"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":[0.0001329508,0.00009476562,0.04612316,0.0004406683,0.000008463118,9.630157e-8,0.002011129,0.8059546,0.00001166609,0.0002658395,0.0000231355,0.1449335],"study_design_scores_gemma":[0.004434716,0.0003993434,0.06024821,0.0006994947,0.0000338603,6.108877e-7,0.001332308,0.9296355,0.00005547918,0.003049162,0.00005139038,0.00005987118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958073,0.01963557,0.06426641,0.01310662,0.000134381,0.006880399,0.00004063719,0.00009635677,0.00003237892],"genre_scores_gemma":[0.9972022,0.0001904575,0.002020906,0.0001013181,0.00001686588,0.0003668299,0.00006850687,0.00002085162,0.00001213178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1448736,"threshold_uncertainty_score":0.3516567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305774328333968,"score_gpt":0.424721745264861,"score_spread":0.2941443124314642,"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."}}