{"id":"W3110784375","doi":"10.1111/eci.13474","title":"Diagnostic accuracy of infrared thermal imaging for detecting COVID‐19 infection in minimally symptomatic patients","year":2020,"lang":"en","type":"article","venue":"European Journal of Clinical Investigation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Forehead; Coronavirus disease 2019 (COVID-19); Medicine; Thermography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Nuclear medicine; Infrared; Surgery","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":[0.001169232,0.0004082178,0.0003530907,0.0008753693,0.0002171364,0.0005693359,0.000388651,0.0005086237,0.001279487],"category_scores_gemma":[0.00517649,0.0001938613,0.0002924661,0.0002464856,0.0003275918,0.0003696115,0.0004013436,0.0003131071,0.0003156571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139771,"about_ca_system_score_gemma":0.0001449862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004253588,"about_ca_topic_score_gemma":0.0004735922,"domain_scores_codex":[0.9994547,0.0001923622,0.00007087571,0.00009437834,0.0001214263,0.00006623502],"domain_scores_gemma":[0.9979944,0.0009289187,0.0005474174,0.0001051611,0.0002194159,0.0002047654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003102581,0.0000247134,0.9930045,0.00002150952,0.00001684048,0.0001235827,0.00003634166,0.00005533209,0.001686079,0.00001069289,0.00006685408,0.004643296],"study_design_scores_gemma":[0.00001290637,0.0004268891,0.9939155,0.00004233896,0.00005686636,0.002351488,0.0001831192,0.001635947,0.001120262,0.00004527089,0.0002016203,0.000007658078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997722,0.001010341,0.0005223472,0.00004273114,0.00001455985,0.00001556212,0.0000706323,0.00001605722,0.000585823],"genre_scores_gemma":[0.9992661,0.0001217028,0.0004793609,0.00001617055,0.00001352119,0.0000056987,0.00006536493,0.000001047376,0.00003095992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001279487,"threshold_uncertainty_score":0.006183565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07550542592768256,"score_gpt":0.3599703989755086,"score_spread":0.284464973047826,"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."}}