{"id":"W1965461840","doi":"10.2215/cjn.02360312","title":"Dialysis Search Filters for PubMed, Ovid MEDLINE, and Embase Databases","year":2012,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; McMaster University; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; MEDLINE; Dialysis; Intensive care medicine; Peritoneal dialysis; Hemodialysis; Information retrieval; Database; 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":[0.06280541,0.002721119,0.00646591,0.07464617,0.002037789,0.00396561,0.003386766,0.002522895,0.02190127],"category_scores_gemma":[0.3101376,0.001381351,0.004950136,0.03936605,0.001043545,0.005494403,0.004104211,0.001202092,0.003729704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004486378,"about_ca_system_score_gemma":0.01789317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005161346,"about_ca_topic_score_gemma":0.01179669,"domain_scores_codex":[0.9369487,0.01468188,0.03924672,0.003162678,0.005094203,0.0008658072],"domain_scores_gemma":[0.6515773,0.2783762,0.03405803,0.00696067,0.02725504,0.001772776],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00418436,0.0003439505,0.02973543,0.4856851,0.005079752,0.001784917,0.003943212,0.001826543,0.00546123,0.005404409,0.07284401,0.383707],"study_design_scores_gemma":[0.008095234,0.003415546,0.1484189,0.2684839,0.03353836,0.004507652,0.004521814,0.009123967,0.01180501,0.01976599,0.4872077,0.001116008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1068586,0.1547445,0.08071498,0.01093722,0.00141297,0.1871456,0.4177639,0.006628678,0.03379356],"genre_scores_gemma":[0.145776,0.04019521,0.4225618,0.00407697,0.0008248591,0.2727224,0.108679,0.0006471261,0.00451665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9371946,"threshold_uncertainty_score":0.3321508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.356921485884148,"score_gpt":0.5655431850518129,"score_spread":0.2086216991676649,"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."}}