{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000003457757,0.0001075013,0.0003576744,0.00009271217,0.00003320135,0.000004273027,0.00003470674,0.00002549095,0.0001366926],"category_scores_gemma":[0.00003867558,0.00007788702,0.0001028087,0.0002459518,0.00008082184,0.00008772525,0.00003320567,0.00006542658,0.00001646549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118713,"about_ca_system_score_gemma":0.00002239549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000930353,"about_ca_topic_score_gemma":0.000004617623,"domain_scores_codex":[0.9993536,0.00004292806,0.0002021367,0.0001591797,0.00006957055,0.0001725445],"domain_scores_gemma":[0.9996431,0.00004080939,0.0000608901,0.00009346582,0.00002943626,0.0001323162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001197623,0.0004384088,0.9244475,0.00004405196,0.001625314,0.0002707,0.0002875835,0.00003677551,0.0007882018,0.0008819022,0.0001512521,0.06983072],"study_design_scores_gemma":[0.005703518,0.002175188,0.9698451,0.000001278139,0.002474359,0.00008800698,0.00005268945,0.004203077,0.0020169,0.00007629277,0.01329454,0.00006909594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936842,0.0002863929,0.00009305187,0.003148047,0.00003074738,0.0003219499,0.00003314535,0.00004150415,0.002360937],"genre_scores_gemma":[0.9970518,0.001170692,0.0001107833,0.001543539,0.00001190388,0.00001789453,0.00007725383,0.00000280729,0.00001337236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06976162,"threshold_uncertainty_score":0.3176141,"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."}}