{"id":"W4414926616","doi":"10.1017/rsm.2025.10041","title":"Making sense of conducting a critical interpretive synthesis: A scoping review","year":2025,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data extraction; Process (computing); Systematic review; Consolidation (business); Quality (philosophy); Best practice","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":[0.7000782,0.005061506,0.01486758,0.05743656,0.01173435,0.03610948,0.009025234,0.01642276,0.005439053],"category_scores_gemma":[0.808744,0.006704353,0.009191844,0.0376322,0.02509273,0.02983104,0.02127421,0.01448932,0.002936383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01759706,"about_ca_system_score_gemma":0.1043264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317376,"about_ca_topic_score_gemma":0.004871005,"domain_scores_codex":[0.1766947,0.6749931,0.1009353,0.0111866,0.03445224,0.001738028],"domain_scores_gemma":[0.1131275,0.6687778,0.03984835,0.04149801,0.1337959,0.002952394],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006322332,0.0002177208,0.001872999,0.2942089,0.004000807,0.001229758,0.1520996,0.002981889,0.002864367,0.1114115,0.07318956,0.3552907],"study_design_scores_gemma":[0.000566485,0.0004271169,0.0008192069,0.5925274,0.00245745,0.0005197264,0.03423722,0.003735662,0.001976345,0.1433662,0.2188516,0.0005156631],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006365734,0.128721,0.5703134,0.1294852,0.03234705,0.1164014,0.002080342,0.001237252,0.01304866],"genre_scores_gemma":[0.03174497,0.04809919,0.7541153,0.01257158,0.003139718,0.1479084,0.0006836811,0.0003811436,0.001356084],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2999218,"threshold_uncertainty_score":0.369857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2885263093294941,"score_gpt":0.5377724213233885,"score_spread":0.2492461119938945,"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."}}