{"id":"W2265124588","doi":"10.1177/0969141315600003","title":"Study designs for determining and comparing sensitivities of disease screening tests","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Screening","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Overdiagnosis; Sensitivity (control systems); Medicine; Test (biology); Randomized controlled trial; Cohort; Screening test; Statistics; Internal medicine; Mathematics; Pediatrics","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":[],"consensus_categories":[],"category_scores_codex":[0.001303911,0.0000910251,0.0002197338,0.00005020222,0.00005417613,0.00001299757,0.0001612787,0.00008636527,0.000001363864],"category_scores_gemma":[0.0007106298,0.00007582263,0.00007367128,0.00004324741,0.00009730984,0.000005241123,0.0001305796,0.0001181686,4.197941e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003915838,"about_ca_system_score_gemma":0.00009134829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008382915,"about_ca_topic_score_gemma":0.00000840179,"domain_scores_codex":[0.999014,0.00008673528,0.0003441025,0.0001296799,0.0002906485,0.0001347973],"domain_scores_gemma":[0.9991173,0.00005837669,0.0002449898,0.0001126456,0.0001587884,0.0003078696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001994651,0.0007251406,0.7654433,0.0001109332,0.0006628158,0.0002355736,0.0009697456,0.0005673643,0.09420575,0.0004147771,0.003556276,0.1311136],"study_design_scores_gemma":[0.05074456,0.04469499,0.4784006,0.004915626,0.002806416,0.003784317,0.03838071,0.08578461,0.2366689,0.003019612,0.04680559,0.003994008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6391161,0.0002827703,0.3602495,0.0001936025,0.00001676263,0.0001146758,0.00000196921,0.000003333629,0.00002133052],"genre_scores_gemma":[0.9656734,0.00002551901,0.033981,0.0001016371,0.0001818845,0.000008405074,0.000006803028,0.0000105873,0.00001075503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3265573,"threshold_uncertainty_score":0.3091957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103677037463456,"score_gpt":0.375483250487692,"score_spread":0.2651155467413465,"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."}}