{"id":"W4393225242","doi":"10.1186/s13643-024-02518-z","title":"Co-design workshops to develop evidence synthesis summary formats for use by clinical guideline development groups","year":2024,"lang":"en","type":"article","venue":"Systematic Reviews","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Health Research Board","keywords":"Focus group; Medicine; Guideline; Evidence-based medicine; Systematic review; Medical education; Evidence-based practice; Multidisciplinary approach; Health care; Nominal group technique; MEDLINE; Alternative medicine; Knowledge management; Computer science","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":[],"category_scores_codex":[0.115566,0.002098587,0.001164428,0.004994198,0.004634038,0.003975565,0.003772868,0.002545902,0.02347753],"category_scores_gemma":[0.2100816,0.001475281,0.002130982,0.002719879,0.00340281,0.005780458,0.009738067,0.003549189,0.007060315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005217442,"about_ca_system_score_gemma":0.01566072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191384,"about_ca_topic_score_gemma":0.002078165,"domain_scores_codex":[0.8838398,0.09398846,0.008812011,0.006495036,0.004374602,0.002490097],"domain_scores_gemma":[0.7621714,0.1710983,0.01135625,0.01559132,0.03327355,0.006509089],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001966689,0.001277887,0.003755673,0.01501721,0.0001729087,0.001503823,0.4182889,0.00247973,0.0123982,0.02065485,0.05600822,0.466476],"study_design_scores_gemma":[0.003631866,0.002314233,0.006502328,0.01406783,0.0004672968,0.0007308571,0.1931431,0.007577941,0.01803219,0.06021123,0.6928858,0.0004353082],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110927,0.001438942,0.6311889,0.0138786,0.002615268,0.1906572,0.003649901,0.002836504,0.04280764],"genre_scores_gemma":[0.1016168,0.0008451596,0.6087095,0.003257372,0.000254445,0.276724,0.0009584409,0.0004788182,0.007155487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.884434,"threshold_uncertainty_score":0.6111785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.814453578331415,"score_gpt":0.6950209193213722,"score_spread":0.1194326590100427,"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."}}