{"id":"W2281906779","doi":"10.1016/j.jclinepi.2016.01.032","title":"GRADE Guidelines: 16. GRADE evidence to decision frameworks for tests in clinical practice and public health","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":340,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Cochrane","funders":"","keywords":"Grading (engineering); Test (biology); Guideline; Transparency (behavior); Computer science; Evidence-based medicine; Knowledge management; Management science; Process management; Medicine; Alternative medicine; Engineering","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","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.36081,0.0002373261,0.003026637,0.0004373601,0.0003428465,0.00001132535,0.0007752117,0.001148793,0.0001007282],"category_scores_gemma":[0.9644418,0.0001419058,0.0003850467,0.000581076,0.0004037931,0.0008563279,0.0003030878,0.00321342,0.00008913029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258927,"about_ca_system_score_gemma":0.005468612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002289879,"about_ca_topic_score_gemma":0.0007414012,"domain_scores_codex":[0.9024746,0.05602099,0.03704443,0.001109535,0.000888145,0.002462319],"domain_scores_gemma":[0.1691889,0.8124668,0.0123045,0.0006485932,0.002489761,0.00290142],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005798991,0.0001210869,0.5300604,0.00005802402,0.00001668884,0.000004533105,0.000321855,0.000003893728,0.000001880301,0.002809206,0.2092694,0.2567531],"study_design_scores_gemma":[0.003898871,0.002293741,0.4849937,0.001743954,0.00001222025,0.00004105515,0.0006638827,0.00009900561,1.064319e-7,0.025636,0.4804895,0.0001279839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.120161,0.0004201763,0.2726222,0.6030565,0.002728848,0.000970369,0.00001268675,0.00001289075,0.00001530666],"genre_scores_gemma":[0.1281831,0.008857382,0.343911,0.5158879,0.002999919,0.00008006372,5.331097e-7,0.00002351004,0.00005654151],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7564458,"threshold_uncertainty_score":0.9990862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9553377312321006,"score_gpt":0.8351776599634307,"score_spread":0.1201600712686699,"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."}}