{"id":"W4412561438","doi":"10.2196/56738","title":"A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Context (archaeology); Cost effectiveness; Quality-adjusted life year; Health care; Marginal cost; Cohort; Cost-effectiveness analysis; Health technology; Computer science; Risk analysis (engineering); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00354915,0.001180399,0.001321875,0.001463158,0.0004052831,0.001356285,0.001370848,0.001296358,0.005289128],"category_scores_gemma":[0.008292948,0.0007784513,0.00236422,0.0009841974,0.0004755886,0.001004534,0.001039084,0.001443193,0.0001962825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004443521,"about_ca_system_score_gemma":0.004635296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04020981,"about_ca_topic_score_gemma":0.0195675,"domain_scores_codex":[0.9987845,0.0007619332,0.00005477063,0.0001400256,0.00009532411,0.0001634473],"domain_scores_gemma":[0.9939592,0.004799974,0.0004806192,0.000115366,0.0003952936,0.0002496157],"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":[0.0002312455,0.00009524151,0.003091358,0.0001157009,0.0001313189,0.00009313254,0.00001886538,0.9906027,0.0001388212,0.001976224,0.000288445,0.003217053],"study_design_scores_gemma":[0.0001159498,0.0002033687,0.000796358,0.00004282087,0.0001742259,0.00003036683,0.00003663533,0.9970434,0.0001010121,0.001123527,0.0003177387,0.00001455778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536001,0.002601798,0.1229766,0.002596996,0.0001243364,0.001493041,0.003710331,0.0002466901,0.01265009],"genre_scores_gemma":[0.9841377,0.0006780318,0.01282507,0.0001168899,0.00001295918,0.0005137511,0.0006446279,0.00001559578,0.001055345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04020981,"threshold_uncertainty_score":0.07995158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162366239022876,"score_gpt":0.3764367082354528,"score_spread":0.3348130458452241,"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."}}