{"id":"W2801362273","doi":"10.1186/s13012-018-0749-2","title":"Correction to: Engaging policy-makers, health system managers, and policy analysts in the knowledge synthesis process: a scoping review","year":2018,"lang":"en","type":"review","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; St. Michael's Hospital","funders":"World Health Organization","keywords":"Health informatics; Health services research; Health administration; Process (computing); Medicine; Health policy; Public health; Healthcare policy; Knowledge management; Process management; Health care reform; Nursing; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03543216,0.0005464698,0.00174622,0.003672213,0.00345868,0.0001990238,0.001529569,0.0001039533,0.00006792258],"category_scores_gemma":[0.01292645,0.0004087655,0.0001272765,0.01664668,0.0004245618,0.0006955006,0.0004387147,0.0007760184,0.0002233198],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004853153,"about_ca_system_score_gemma":0.03323226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007472807,"about_ca_topic_score_gemma":0.007625903,"domain_scores_codex":[0.9846213,0.006704477,0.00370882,0.001387988,0.001511589,0.002065813],"domain_scores_gemma":[0.9880269,0.007102985,0.002612029,0.0009745852,0.0005872213,0.0006962607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002539237,0.00001534423,0.0001674945,0.2243098,0.00001353642,0.000001920636,0.02633872,3.107089e-7,2.530842e-7,0.0007748388,0.01162031,0.736755],"study_design_scores_gemma":[0.0003420025,0.0001032377,0.0003909403,0.5507131,0.0001295977,0.00005885953,0.0327612,0.00005066483,9.373385e-7,0.00001718144,0.414906,0.0005262915],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005474142,0.9484572,0.0003950205,0.02030409,0.001613398,0.02424817,0.0001897425,0.0001987965,0.004538854],"genre_scores_gemma":[0.001117707,0.9720286,0.0002832413,0.0192579,0.0008462559,0.006302667,0.00002127766,0.00005022612,0.0000920868],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7362286,"threshold_uncertainty_score":0.9998364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6416614973486734,"score_gpt":0.7554200018303353,"score_spread":0.1137585044816619,"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."}}