{"id":"W3136866275","doi":"10.1136/bmj.n265","title":"Preferred reporting items for journal and conference abstracts of systematic reviews and meta-analyses of diagnostic test accuracy studies (PRISMA-DTA for Abstracts): checklist, explanation, and elaboration","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Jewish General Hospital; McGill University; University of Calgary; Ottawa Hospital; Queen's University","funders":"Birmingham Biomedical Research Centre; Department of Health and Social Care; Medical Research Council; National Institute for Health and Care Research; University of Ottawa","keywords":"Checklist; Systematic review; Test (biology); Meta-analysis; MEDLINE; Medical physics; Computer science; Psychology; Medicine; Management science; Information retrieval; Pathology; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1192679,0.0002746881,0.006306121,0.0002068847,0.0001668738,0.0006361043,0.0002751184,0.00007216101,0.00007322432],"category_scores_gemma":[0.8471283,0.0001326783,0.0008116572,0.0004281292,0.00008028629,0.0004945163,0.00006859271,0.00008463309,0.000002785258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000129578,"about_ca_system_score_gemma":0.0001310341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000598081,"about_ca_topic_score_gemma":0.00005514518,"domain_scores_codex":[0.9720092,0.002254897,0.02350286,0.0005990656,0.001473105,0.0001608293],"domain_scores_gemma":[0.5915922,0.23928,0.1441996,0.003435706,0.02112156,0.0003709961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0001364265,0.001135732,0.02473748,0.461502,0.06032451,0.0001094926,0.02496649,0.001613961,0.0593688,0.004065746,0.3356602,0.0263791],"study_design_scores_gemma":[0.008100487,0.002070055,0.1670478,0.03997926,0.4107976,0.003010297,0.09890329,0.03449106,0.05625728,0.1168858,0.05802323,0.004433875],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5068782,0.420873,0.04566346,0.005545438,0.0005100822,0.01933613,0.0003654352,0.00001047755,0.0008177444],"genre_scores_gemma":[0.9740353,0.004359987,0.01967807,0.00006517646,0.00007083389,0.0005833253,0.00001564438,0.00001073325,0.001180947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7278603,"threshold_uncertainty_score":0.906899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9068466404506642,"score_gpt":0.6154196643851341,"score_spread":0.2914269760655301,"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."}}