{"id":"W3016824062","doi":"10.1159/000507890","title":"Pharmacological Acromegaly Treatment: Cost-Utility and Value of Information Analysis","year":2020,"lang":"en","type":"article","venue":"Neuroendocrinology","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; Toronto Public Health","funders":"","keywords":"Lanreotide; Pegvisomant; Medicine; Acromegaly; Cost–utility analysis; Octreotide; Value of information; Cost-effectiveness analysis; Quality-adjusted life year; Quality of life (healthcare); Cost–benefit analysis; Actuarial science; Intensive care medicine; Cost effectiveness; Internal medicine; Risk analysis (engineering); Economics; Somatostatin","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":[0.01323988,0.001406459,0.002528617,0.003266153,0.0002887493,0.003009482,0.00142939,0.00161352,0.004277733],"category_scores_gemma":[0.04042684,0.000586861,0.004016831,0.002678815,0.0006722324,0.001644865,0.001073506,0.001576273,0.0001617762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006180524,"about_ca_system_score_gemma":0.004746468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006032336,"about_ca_topic_score_gemma":0.003069755,"domain_scores_codex":[0.9866426,0.01146931,0.0002754412,0.0003618396,0.0008987368,0.000352081],"domain_scores_gemma":[0.9692922,0.02832416,0.00115584,0.0003511148,0.000620427,0.0002563311],"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":[0.004399747,0.0004940889,0.01372858,0.00329103,0.004875874,0.0004590485,0.0001125543,0.8668362,0.0006366131,0.01882729,0.002143345,0.08419562],"study_design_scores_gemma":[0.0007990514,0.002106917,0.009357381,0.001271861,0.003900638,0.0004682718,0.0002087494,0.9546623,0.0006232099,0.02347309,0.003007615,0.0001209136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868044,0.09202673,0.2588174,0.01197352,0.0004435239,0.006918855,0.008913562,0.0002913369,0.03381073],"genre_scores_gemma":[0.9689494,0.005079372,0.02311178,0.0003009098,0.00009643417,0.0008336082,0.0009118184,0.00002427458,0.0006923573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323988,"threshold_uncertainty_score":0.07002002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092524930954772,"score_gpt":0.3010776034491108,"score_spread":0.2701523541395631,"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."}}