{"id":"W4365451872","doi":"10.1002/cesm.12006","title":"How to develop rapid reviews of diagnostic tests according to experts: A qualitative exploration of researcher views","year":2023,"lang":"en","type":"article","venue":"Cochrane Evidence Synthesis and Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health; Institute for Work & Health; University of Toronto; St. Michael's Hospital","funders":"Instituto de Salud Carlos III","keywords":"Data science; Psychology; Computer science","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3857627,0.0003403696,0.004991517,0.001074253,0.0001277905,0.0004077442,0.001394237,0.00009007916,0.0008761731],"category_scores_gemma":[0.92349,0.0001794644,0.0006957411,0.007635541,0.0001128024,0.0009591079,0.0003931182,0.0001001217,0.0003001233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441166,"about_ca_system_score_gemma":0.0001259928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002216238,"about_ca_topic_score_gemma":0.00002584887,"domain_scores_codex":[0.9037607,0.08101977,0.008881285,0.001519659,0.004322729,0.0004958763],"domain_scores_gemma":[0.3807067,0.5966612,0.007391584,0.00650918,0.007814112,0.0009171857],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002461461,0.0000251099,0.0004379017,0.0007488675,0.0000730561,0.000002210568,0.02802123,0.00001279199,0.04445032,0.0003126385,0.0250688,0.9008225],"study_design_scores_gemma":[0.0003471072,0.0009071277,0.01152539,0.02768661,0.001119689,0.00001342297,0.2891496,0.001491754,0.1820964,0.01307386,0.4708595,0.001729552],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0618317,0.04864352,0.8669894,0.0173819,0.0003200345,0.004195182,0.00001872166,0.0000181835,0.0006014054],"genre_scores_gemma":[0.1722271,0.02607488,0.795491,0.0003851506,0.0001215473,0.002096289,0.000002469362,0.00004018755,0.003561425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8990929,"threshold_uncertainty_score":0.9593481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8987904795405195,"score_gpt":0.6799969040219239,"score_spread":0.2187935755185956,"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."}}