{"id":"W2091538045","doi":"10.1016/j.jclinepi.2014.03.013","title":"Scoping reviews: time for clarity in definition, methods, and reporting","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2793,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; St. Michael's Hospital; University of Ottawa; University of Toronto","funders":"","keywords":"CLARITY; Terminology; Confusion; Consistency (knowledge bases); Computer science; Management science; Knowledge translation; Field (mathematics); Systematic review; Data science; Process management; Knowledge management; MEDLINE; Psychology; Engineering; Political science; Artificial intelligence","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":[0.8024127,0.00504578,0.01676,0.03669152,0.008407705,0.04103765,0.01911176,0.02625264,0.00501186],"category_scores_gemma":[0.9294947,0.008650743,0.01085426,0.02957426,0.0385012,0.04789084,0.02602644,0.07357356,0.00277737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02095161,"about_ca_system_score_gemma":0.07033587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164759,"about_ca_topic_score_gemma":0.01579712,"domain_scores_codex":[0.179859,0.433131,0.2765189,0.01577916,0.09112617,0.003585729],"domain_scores_gemma":[0.01803947,0.7978185,0.04469252,0.04413117,0.092006,0.003312264],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009691886,0.0001857776,0.002237245,0.08829069,0.005122489,0.0004679937,0.01391354,0.001017858,0.001387494,0.1666294,0.4496793,0.270099],"study_design_scores_gemma":[0.001143635,0.0003654063,0.003756129,0.2563433,0.004153538,0.00116111,0.005181699,0.004426281,0.001519851,0.2358364,0.4851702,0.0009424128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0009113964,0.1464842,0.08236311,0.6882946,0.07557654,0.002588919,0.0008261555,0.000860284,0.002094852],"genre_scores_gemma":[0.02390123,0.1048902,0.4951867,0.2931072,0.06634458,0.01144103,0.001285213,0.002060718,0.001783043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1975873,"threshold_uncertainty_score":0.2436603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9759914182322607,"score_gpt":0.7661860522381492,"score_spread":0.2098053659941115,"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."}}