{"id":"W4211167358","doi":"10.1016/j.medj.2022.02.002","title":"Integrated testing for TB and COVID-19","year":2022,"lang":"no","type":"article","venue":"Med","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Context (archaeology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Medicine; Virology; Geography; Pathology; Disease","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002538039,0.0001614267,0.0004684192,0.0001650023,0.0005194388,0.00001524835,0.0001466104,0.00008222192,0.001464819],"category_scores_gemma":[0.04485505,0.0001381138,0.00007065709,0.0003931647,0.0001676341,0.00002727445,0.000224605,0.0005683223,0.00002737788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622156,"about_ca_system_score_gemma":0.0007576152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894302,"about_ca_topic_score_gemma":0.00009573621,"domain_scores_codex":[0.9977441,0.000598348,0.0003479296,0.0004108713,0.0002332502,0.0006655396],"domain_scores_gemma":[0.9945513,0.004315004,0.00008740535,0.0002417763,0.0001024865,0.0007020233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002041205,0.0003044742,0.2130234,0.0009508192,0.000370863,0.0002833176,0.001730394,0.0001383833,0.01590167,0.0008170895,0.7067704,0.05766798],"study_design_scores_gemma":[0.004461332,0.002773207,0.01347727,0.00004471496,0.0001417448,0.0002099015,0.002929218,0.04529424,0.0001302478,0.0009570768,0.9293594,0.0002216164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7089756,0.01678691,0.004268024,0.255746,0.001362089,0.004247527,0.0009770021,0.0003023536,0.007334517],"genre_scores_gemma":[0.9548456,0.000188661,0.002968526,0.02910439,0.0005533409,0.0007611396,0.0004043095,0.00005401906,0.01112001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24587,"threshold_uncertainty_score":0.999448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1487748050172599,"score_gpt":0.407909932512378,"score_spread":0.2591351274951181,"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."}}