{"id":"W2265528961","doi":"10.1016/j.jclinepi.2015.11.021","title":"Knowledge synthesis methods for generating or refining theory: a scoping review reveals that little guidance is available","year":2016,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Refining (metallurgy); Management science; Computer science; Data science; Psychology; Engineering; Chemistry","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3563183,0.004204711,0.01354191,0.02967803,0.003582053,0.01529699,0.007650987,0.007185405,0.01011708],"category_scores_gemma":[0.5544822,0.00285631,0.01416768,0.02482633,0.006035387,0.01250002,0.009143708,0.008387422,0.002141194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01311847,"about_ca_system_score_gemma":0.07662983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305849,"about_ca_topic_score_gemma":0.03397554,"domain_scores_codex":[0.6588222,0.2141588,0.07443575,0.01172719,0.03904003,0.001815947],"domain_scores_gemma":[0.3416395,0.5903512,0.02043331,0.01722077,0.02904834,0.001306909],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002745442,0.00008162052,0.001075779,0.5261151,0.009595884,0.0001136796,0.002674796,0.0007100297,0.0003246629,0.008831508,0.01207042,0.438132],"study_design_scores_gemma":[0.0004301826,0.0001751812,0.001485656,0.8996615,0.02904467,0.0001598006,0.0017473,0.001075989,0.0007958541,0.02034353,0.04491141,0.0001689549],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001468391,0.9207252,0.04609106,0.01614001,0.001895975,0.007917093,0.001456036,0.0002520714,0.004054085],"genre_scores_gemma":[0.03767961,0.7165856,0.2143006,0.0104493,0.0006052903,0.01797163,0.001139864,0.0002646984,0.001003369],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6436816,"threshold_uncertainty_score":0.7937741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9681132455293067,"score_gpt":0.8445442824602661,"score_spread":0.1235689630690405,"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."}}