{"id":"W2908663834","doi":"10.1002/rev3.3147","title":"Improving reporting of meta‐ethnography: The <scp>eMERG</scp> e reporting guidance","year":2019,"lang":"en","type":"article","venue":"Review of Education","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council; Medical Research Council; Health Services and Delivery Research Programme; National Institute for Health and Care Research; Cancer Research UK; Llywodraeth Cymru; United Kingdom Clinical Research Collaboration; British Heart Foundation; Wellcome Trust","keywords":"Audit; Ethnography; CLARITY; Best practice; Documentation; Quality (philosophy); Psychology; Medical education; Medicine; Sociology; Computer science; Business; Political science; Accounting","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":[0.7299226,0.007528484,0.016353,0.0396559,0.006429945,0.0224183,0.01231979,0.02600588,0.0353639],"category_scores_gemma":[0.9294809,0.01279057,0.02343181,0.04957669,0.013219,0.01651554,0.0168058,0.0188403,0.01369956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02045191,"about_ca_system_score_gemma":0.07686927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008594517,"about_ca_topic_score_gemma":0.008729488,"domain_scores_codex":[0.116844,0.5374185,0.2875734,0.01198965,0.04282491,0.003349577],"domain_scores_gemma":[0.03187836,0.614378,0.09502349,0.1259312,0.1299826,0.002806342],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002343356,0.0002610313,0.003466018,0.2564335,0.005821652,0.0009312124,0.01072425,0.002473545,0.001490634,0.02208035,0.5495035,0.144471],"study_design_scores_gemma":[0.005647575,0.0003784069,0.006070221,0.4668459,0.003711386,0.0009577419,0.003364277,0.01212779,0.005497904,0.05315904,0.441172,0.001067722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.004299721,0.02154162,0.3356408,0.1270616,0.05969492,0.3588099,0.05673719,0.0148202,0.02139409],"genre_scores_gemma":[0.01462452,0.004086862,0.4156669,0.02051335,0.002023497,0.5332083,0.00490306,0.002236983,0.002736553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2700774,"threshold_uncertainty_score":0.3330536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5538810540954925,"score_gpt":0.6643769579175409,"score_spread":0.1104959038220484,"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."}}