{"id":"W2342283369","doi":"10.1148/radiol.2016152229","title":"Meta-Analyses of Diagnostic Accuracy in Imaging Journals: Analysis of Pooling Techniques and Their Effect on Summary Estimates of Diagnostic Accuracy","year":2016,"lang":"en","type":"review","venue":"Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Meta-analysis; Bivariate analysis; Univariate; Confidence interval; Receiver operating characteristic; Subspecialty; Pooling; Statistics; Random effects model; Forest plot; MEDLINE; Medical physics; Multivariate statistics; Internal medicine; Pathology; Artificial intelligence; Mathematics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2135915,0.007448242,0.03022027,0.02169995,0.001171044,0.007903526,0.004976769,0.004313216,0.00235481],"category_scores_gemma":[0.4910824,0.003324554,0.08640021,0.02199611,0.002588207,0.006596799,0.004833159,0.004131743,0.0004719351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003801687,"about_ca_system_score_gemma":0.003281415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398711,"about_ca_topic_score_gemma":0.004747729,"domain_scores_codex":[0.6601863,0.2270101,0.06702508,0.02378961,0.01998277,0.002006127],"domain_scores_gemma":[0.4360825,0.4792905,0.04881604,0.0235758,0.01133511,0.0009001016],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.001635924,0.00001352951,0.01120966,0.04663409,0.9282677,0.0001026527,0.0001420854,0.0009135301,0.0001454553,0.0003001195,0.0004623439,0.01017287],"study_design_scores_gemma":[0.0007153391,0.0003766979,0.01042987,0.01016144,0.9726883,0.0002518836,0.0001038978,0.001189427,0.000410955,0.002055241,0.001535863,0.0000811819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01499766,0.9543568,0.02459899,0.001011897,0.001146753,0.001211209,0.001700362,0.0003298459,0.0006465209],"genre_scores_gemma":[0.6549196,0.2553285,0.07206855,0.002568599,0.002650578,0.008363505,0.002682696,0.0006865255,0.0007314846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7864085,"threshold_uncertainty_score":0.9697817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6785840389493006,"score_gpt":0.5821675475887947,"score_spread":0.0964164913605059,"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."}}