{"id":"W1991203683","doi":"10.1111/ijlh.12148","title":"Automated screening for tuberculosis by multiparametric analysis of data obtained during routine complete blood count","year":2013,"lang":"en","type":"article","venue":"International Journal of Laboratory Hematology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Tuberculosis; Population; Reproducibility; Test set; Test (biology); Nuclear medicine; Pathology; Statistics; 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":[0.001975816,0.0005068743,0.0006564101,0.001104436,0.0001508599,0.0009293969,0.0005989416,0.0004434575,0.0006188588],"category_scores_gemma":[0.003844063,0.0002723656,0.0006660536,0.0004526756,0.0002287705,0.0004874639,0.0006656036,0.0003348856,0.0003350236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030456,"about_ca_system_score_gemma":0.0003302305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122972,"about_ca_topic_score_gemma":0.0008492263,"domain_scores_codex":[0.9988368,0.0005862704,0.00005583582,0.0002785777,0.0001798897,0.00006259412],"domain_scores_gemma":[0.9977499,0.001353833,0.0003196086,0.0003173253,0.0001993931,0.0000600462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001188276,0.0005648836,0.5167739,0.0002251423,0.0005627146,0.0002651942,0.000186005,0.2484263,0.01985394,0.0007372201,0.0009923651,0.2102242],"study_design_scores_gemma":[0.00002726579,0.0003663498,0.07374104,0.00002316279,0.00008450855,0.0003873198,0.00003349435,0.9186784,0.005044348,0.0009406834,0.0006375121,0.00003599098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7370595,0.0006402342,0.2591386,0.0001539026,0.0000228746,0.00009865859,0.001153344,0.0006828367,0.001050086],"genre_scores_gemma":[0.9745135,0.00008328763,0.02427259,0.00003136635,0.00001619862,0.00006871862,0.0007378598,0.00001402062,0.0002625023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001975816,"threshold_uncertainty_score":0.01044923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975318687453818,"score_gpt":0.3763756667600426,"score_spread":0.3266224798855045,"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."}}