{"id":"W2052308440","doi":"10.1210/jc.2003-031127","title":"The Economic Implications of Three Biochemical Screening Algorithms for Pheochromocytoma","year":2004,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Mayo Clinic","keywords":"Metanephrines; Metanephrine; Pheochromocytoma; Normetanephrine; Algorithm; Urology; Medicine; Urinary system; Paraganglioma; Liter; Internal medicine; Radiology; Computer science","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":[0.01514707,0.001257263,0.001327121,0.001345052,0.0009907664,0.003268771,0.002448548,0.002427123,0.002542613],"category_scores_gemma":[0.04947848,0.0009007251,0.002320833,0.001270654,0.00136433,0.002382891,0.001661779,0.00186216,0.0001515769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009366918,"about_ca_system_score_gemma":0.005487205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711261,"about_ca_topic_score_gemma":0.0098447,"domain_scores_codex":[0.9925151,0.005451177,0.000226073,0.0005170205,0.0005373304,0.0007532251],"domain_scores_gemma":[0.9418627,0.05046945,0.003634284,0.00125866,0.001669581,0.001105309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003794509,0.0008631009,0.03613371,0.0001590552,0.0003107576,0.0003248769,0.0001172836,0.8974707,0.000634218,0.03869968,0.001976834,0.0195153],"study_design_scores_gemma":[0.0007916845,0.001479775,0.01103347,0.00005735146,0.0002721883,0.0001889479,0.0002205465,0.9706683,0.0004456858,0.0137037,0.001057293,0.00008106045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369744,0.0007570707,0.03528887,0.006383561,0.0001074452,0.001447356,0.002256913,0.0001546375,0.01662976],"genre_scores_gemma":[0.984289,0.0002633782,0.01312675,0.0003823048,0.00002434288,0.0002955046,0.0004510115,0.00001289398,0.001154815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711261,"threshold_uncertainty_score":0.08010626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08980436475923134,"score_gpt":0.4043042522077415,"score_spread":0.3144998874485102,"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."}}