{"id":"W2175855361","doi":"10.1378/chest.2268765","title":"Computer Aided Diagnosis of Tuberculosis Using Digital Chest Radiographs: A Systematic Review","year":2015,"lang":"en","type":"review","venue":"CHEST Journal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Tuberculosis; Radiography; Pulmonary tuberculosis; Inclusion and exclusion criteria; Medical physics; Internal medicine; Radiology; Pathology","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":[0.003520672,0.001068585,0.005579475,0.005401646,0.0003797307,0.001839479,0.00173628,0.001590139,0.003321553],"category_scores_gemma":[0.02288713,0.0007523789,0.005515801,0.005737173,0.0005630535,0.001900231,0.001041006,0.001085806,0.0002458434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294426,"about_ca_system_score_gemma":0.004299986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008346152,"about_ca_topic_score_gemma":0.02677906,"domain_scores_codex":[0.9957165,0.001251556,0.001563875,0.0004197455,0.0009390351,0.0001092392],"domain_scores_gemma":[0.9845055,0.01196721,0.002014017,0.0001758564,0.001205528,0.0001318125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003506292,0.00005090271,0.003549389,0.8645238,0.01660552,0.0001341616,0.0001692952,0.0001689439,0.0002162644,0.0001611702,0.002017047,0.1120528],"study_design_scores_gemma":[0.001132157,0.0007117326,0.02383844,0.7078814,0.2301653,0.001559057,0.0007205516,0.0005079785,0.0004600268,0.0004892651,0.03238687,0.0001472457],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000989796,0.9983348,0.0000964288,0.00007545648,0.00005329765,0.00009226696,0.0001870229,0.000003655721,0.0001672413],"genre_scores_gemma":[0.01836547,0.9799831,0.000907196,0.0003085202,0.00007296309,0.00009717578,0.0001863382,0.000002651281,0.00007659034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008346152,"threshold_uncertainty_score":0.0186193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105938044111592,"score_gpt":0.3788402602606685,"score_spread":0.2729022161490764,"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."}}