{"id":"W2891378911","doi":"10.7326/m18-0850","title":"PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation","year":2018,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":40431,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University; University of Alberta; University of Ottawa; Ottawa Hospital; Canadian Agency for Drugs and Technologies in Health; Royal College of Physicians and Surgeons of Canada; Dalhousie University; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research; World Health Organization","keywords":"Checklist; Systematic review; Terminology; Medicine; Guideline; Health care; Quality (philosophy); Medical education; MEDLINE; Management science; Knowledge management; Process management; Psychology; Computer science; Engineering","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":[0.4003629,0.005415189,0.008833024,0.02232718,0.004414309,0.008163314,0.01051381,0.007545645,0.05640912],"category_scores_gemma":[0.5493817,0.008202021,0.02199537,0.02924966,0.005591115,0.008250015,0.01457864,0.0160118,0.01785014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009901513,"about_ca_system_score_gemma":0.07250941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004704812,"about_ca_topic_score_gemma":0.005487198,"domain_scores_codex":[0.5243173,0.2779219,0.1667717,0.007674044,0.02043471,0.002880309],"domain_scores_gemma":[0.3427808,0.4270445,0.05944442,0.04409745,0.1232828,0.003350054],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001644029,0.0002239151,0.001360166,0.4252112,0.002666123,0.0003803216,0.005676431,0.002793137,0.001548092,0.02174536,0.3723074,0.1644438],"study_design_scores_gemma":[0.00670533,0.0004963364,0.005438392,0.2384524,0.004176524,0.0006832362,0.003162019,0.006371982,0.00337037,0.05635796,0.673864,0.000921495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.002189391,0.009561866,0.2924442,0.01853759,0.008630747,0.5685244,0.082882,0.008711634,0.008518168],"genre_scores_gemma":[0.002383138,0.003718256,0.3686384,0.001452207,0.0002347291,0.6107378,0.01127933,0.0004187485,0.001137395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5996372,"threshold_uncertainty_score":0.7394593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3298410457736344,"score_gpt":0.5466968488783739,"score_spread":0.2168558031047395,"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."}}