{"id":"W2078426085","doi":"10.1053/j.ajkd.2014.06.010","title":"High-Performance Information Search Filters for CKD Content in PubMed, Ovid MEDLINE, and EMBASE","year":2014,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; University of Calgary; University of British Columbia; St. Michael's Hospital; Western University; Humber River Regional Hospital; McMaster University; London Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; MEDLINE; Kidney disease; Terminology; Relevance (law); Information retrieval; Medical physics; Computer science; Internal medicine","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":[],"category_scores_codex":[0.0216523,0.003827379,0.01328804,0.1035534,0.003348984,0.006113529,0.002642513,0.004141425,0.05758689],"category_scores_gemma":[0.1440061,0.001559534,0.006700946,0.06090776,0.001583327,0.007028013,0.004373528,0.002203413,0.007557885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005788786,"about_ca_system_score_gemma":0.02537454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334031,"about_ca_topic_score_gemma":0.06214741,"domain_scores_codex":[0.9687127,0.004534639,0.02021616,0.001929219,0.003460464,0.001146865],"domain_scores_gemma":[0.8310817,0.1158077,0.02424023,0.004088876,0.02230754,0.002474003],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00298228,0.0003132245,0.01159128,0.7970399,0.004940907,0.001656499,0.003577418,0.0005158962,0.005112482,0.003543352,0.08188541,0.08684132],"study_design_scores_gemma":[0.005899661,0.001164245,0.07815512,0.4325297,0.03519334,0.001892565,0.003144309,0.001671239,0.005340625,0.008343101,0.4259046,0.0007615854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05096923,0.2128311,0.01403604,0.01020242,0.002739583,0.06948122,0.597188,0.002767141,0.03978536],"genre_scores_gemma":[0.2344106,0.1921442,0.1318974,0.01191234,0.003403564,0.1536817,0.2431516,0.001757213,0.02764145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9783477,"threshold_uncertainty_score":0.1926473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478719822776344,"score_gpt":0.3648305110024931,"score_spread":0.3300433127747297,"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."}}