{"id":"W4291552282","doi":"10.1038/s41598-022-14826-2","title":"Diagnostic accuracy of symptoms for an underlying disease: a simulation study","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; International Civil Aviation Organization","funders":"","keywords":"Medicine; Receiver operating characteristic; Epidemiology; Disease; Incidence (geometry); Diagnostic accuracy; Internal medicine; Confidence interval; Correlation; Mathematics","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":[0.005820818,0.0008952841,0.001064808,0.0009523655,0.0003877692,0.0008608699,0.0010062,0.001668459,0.001340117],"category_scores_gemma":[0.0210299,0.0004271629,0.001718172,0.0007998176,0.0006816617,0.0007144347,0.0008154238,0.001449229,0.0001227906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316874,"about_ca_system_score_gemma":0.001333837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302618,"about_ca_topic_score_gemma":0.01150735,"domain_scores_codex":[0.9983881,0.001080219,0.00009261976,0.0002020195,0.0001020173,0.0001351859],"domain_scores_gemma":[0.9552692,0.03928256,0.001646481,0.001284913,0.001760828,0.0007559755],"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":[0.001493011,0.0006895851,0.09597577,0.0001202788,0.0004783368,0.0003914715,0.0002547249,0.8920718,0.0006869072,0.001994247,0.0007317257,0.005112124],"study_design_scores_gemma":[0.0001794625,0.00044135,0.008162626,0.00003097258,0.0001107527,0.000128275,0.00009951793,0.9893202,0.0003680572,0.0009221217,0.0002110656,0.00002563605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990729,0.000258695,0.007328633,0.0002747095,0.00002469911,0.00008497419,0.0004397014,0.00004205256,0.0008175252],"genre_scores_gemma":[0.9948473,0.0001294212,0.004143086,0.00005673784,0.00001100483,0.00008313392,0.0004522679,0.000005644158,0.0002715025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02302618,"threshold_uncertainty_score":0.04578429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09646967073105589,"score_gpt":0.4021298472999269,"score_spread":0.305660176568871,"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."}}