{"id":"W4221049767","doi":"10.1186/s12874-022-01515-x","title":"Development and validation of search filters to identify articles on deprescribing in Medline and Embase","year":2022,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"","keywords":"MEDLINE; Deprescribing; Medicine; Intensive care medicine; Polypharmacy; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2664361,0.004268074,0.009874123,0.08229834,0.002667505,0.00575203,0.005525223,0.004357944,0.005044665],"category_scores_gemma":[0.5106139,0.002332876,0.01174508,0.03392993,0.002301279,0.007951283,0.005282328,0.001551208,0.002122053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006312665,"about_ca_system_score_gemma":0.0202255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520741,"about_ca_topic_score_gemma":0.01200648,"domain_scores_codex":[0.7526219,0.06476472,0.1301487,0.01343507,0.03613549,0.002893988],"domain_scores_gemma":[0.3675591,0.4458464,0.07526875,0.02222823,0.0870232,0.002074251],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007164861,0.0008481407,0.1378774,0.274743,0.01328404,0.002217589,0.009772542,0.004368607,0.01493398,0.007641931,0.02795164,0.4991963],"study_design_scores_gemma":[0.007475414,0.006576783,0.4673692,0.1694069,0.05827606,0.004894468,0.005521215,0.02321483,0.03238739,0.01477709,0.2082678,0.001833018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2733139,0.1078158,0.2739267,0.006009112,0.002472806,0.241734,0.06679402,0.005581853,0.02235175],"genre_scores_gemma":[0.2324285,0.0178632,0.49557,0.00212706,0.0007611696,0.2167687,0.03187709,0.0005193259,0.002084929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7335639,"threshold_uncertainty_score":0.9046149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9719650177757563,"score_gpt":0.7161187116190901,"score_spread":0.2558463061566661,"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."}}