{"id":"W2551145115","doi":"10.3163/1536-5050.104.4.020","title":"Scoping reviews: establishing the role of the librarian","year":2016,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Faculty of Dentistry, McGill University; McGill University","keywords":"Systematic review; Work (physics); Library science; MEDLINE; Computer science; Data science; Knowledge management; Medical education; Medicine; Political 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","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7428622,0.003291146,0.01126201,0.04612504,0.01960071,0.07298926,0.01249694,0.03261248,0.006307161],"category_scores_gemma":[0.7566577,0.006776347,0.002760846,0.0241597,0.06164323,0.07457155,0.04565996,0.03026542,0.008163658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02673722,"about_ca_system_score_gemma":0.1526078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105591,"about_ca_topic_score_gemma":0.01264343,"domain_scores_codex":[0.2218872,0.5950286,0.08934018,0.01722064,0.07199715,0.004526084],"domain_scores_gemma":[0.09398968,0.644749,0.03109949,0.03643389,0.170703,0.02302494],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003889372,0.0003599739,0.0090957,0.05351194,0.0008810975,0.0008003043,0.06208386,0.0003005446,0.001350443,0.1291247,0.1536688,0.5884337],"study_design_scores_gemma":[0.0003248798,0.0004944904,0.004385564,0.326077,0.0009298456,0.001286926,0.02801435,0.001212494,0.001135278,0.1440435,0.4915807,0.0005150104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003770134,0.3144863,0.082754,0.5397958,0.02241548,0.004377595,0.0002847209,0.0008834668,0.03123257],"genre_scores_gemma":[0.1011781,0.2920826,0.4392932,0.1249374,0.01985354,0.01373162,0.0005593183,0.001398794,0.006965447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270108,"threshold_uncertainty_score":0.3170967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05213327261760248,"score_gpt":0.4059012896903736,"score_spread":0.3537680170727711,"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."}}